Relevant bibliographies by topics / Blob Analysis

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Blob Analysis'

Author: Grafiati
Published: 4 June 2021
Last updated: 16 June 2025

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Journal articles on the topic "Blob Analysis"

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Ishida, T., Y. Ogawa, A. Kadokura, K. Hosokawa, and Y. Otsuka. "Direct observations of blob deformation during a substorm." Annales Geophysicae 33, no. 5 (2015): 525–30. http://dx.doi.org/10.5194/angeo-33-525-2015.

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Abstract. Ionospheric blobs are localized plasma density enhancements, which are mainly produced by the transportation process of plasma. To understand the deformation process of a blob, observations of plasma parameters with good spatial–temporal resolution are desirable. Thus, we conducted the European Incoherent Scatter radar observations with high-speed meridional scans (60–80 s) during October and December 2013, and observed the temporal evolution of a blob during a substorm on 4 December 2013. This paper is the first report of direct observations of blob deformation during a substorm. The blob deformation arose from an enhanced plasma flow shear during the substorm expansion phase, and then the blob split into two smaller-scale blobs, whose scale sizes were more than ~100 km in latitude. Our analysis indicates that the Kelvin–Helmholtz instability and dissociative recombination could have deformed the blob structure.
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Srinivasu, Srinivasu, Soundararajan Soundararajan, and Sakthishree Sakthishree. "Marine Object Recognition using Blob Analysis." International Journal of Computing Algorithm 5, no. 2 (2016): 97–98. http://dx.doi.org/10.20894/ijcoa.101.005.002.008.

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Carbary, J. F., K. Liou, A. T. Y. Lui, P. T. Newell, and C. I. Meng. "“Blob” analysis of auroral substorm dynamics." Journal of Geophysical Research: Space Physics 105, A7 (2000): 16083–91. http://dx.doi.org/10.1029/1999ja000210.

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Li, Teng, Yanzhe Xu, Teresa Wu, Jennifer R. Charlton, Kevin M. Bennett, and Firas Al-Hindawi. "BlobCUT: A Contrastive Learning Method to Support Small Blob Detection in Medical Imaging." Bioengineering 10, no. 12 (2023): 1372. http://dx.doi.org/10.3390/bioengineering10121372.

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Medical imaging-based biomarkers derived from small objects (e.g., cell nuclei) play a crucial role in medical applications. However, detecting and segmenting small objects (a.k.a. blobs) remains a challenging task. In this research, we propose a novel 3D small blob detector called BlobCUT. BlobCUT is an unpaired image-to-image (I2I) translation model that falls under the Contrastive Unpaired Translation paradigm. It employs a blob synthesis module to generate synthetic 3D blobs with corresponding masks. This is incorporated into the iterative model training as the ground truth. The I2I translation process is designed with two constraints: (1) a convexity consistency constraint that relies on Hessian analysis to preserve the geometric properties and (2) an intensity distribution consistency constraint based on Kullback-Leibler divergence to preserve the intensity distribution of blobs. BlobCUT learns the inherent noise distribution from the target noisy blob images and performs image translation from the noisy domain to the clean domain, effectively functioning as a denoising process to support blob identification. To validate the performance of BlobCUT, we evaluate it on a 3D simulated dataset of blobs and a 3D MRI dataset of mouse kidneys. We conduct a comparative analysis involving six state-of-the-art methods. Our findings reveal that BlobCUT exhibits superior performance and training efficiency, utilizing only 56.6% of the training time required by the state-of-the-art BlobDetGAN. This underscores the effectiveness of BlobCUT in accurately segmenting small blobs while achieving notable gains in training efficiency.
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Patel, Aeman Alijahan, and Rachna Y. Patil. "Diagnosis of Diabetic Retinopathy using Blob Analysis." International Journal of Computer Applications 183, no. 32 (2021): 8–11. http://dx.doi.org/10.5120/ijca2021921707.

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Yusuf, Muhammad Dede, RD Kusumanto, Yurni Oktarina, Tresna Dewi, and Pola Risma. "BLOB Analysis for Fruit Recognition and Detection." Computer Engineering and Applications Journal 7, no. 1 (2018): 25–36. http://dx.doi.org/10.18495/comengapp.v7i1.237.

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Robot application in agriculture can ease the farming process, especially as the harvesting robot for seasonal fruit that is available in a short time. The addition of "eye" as the image sensor is an important feature for a harvesting robot. Thanks to the increment of technology, the camera is getting smaller with better performance, and lower prices. The cheap sensors and components make the creation of cheap and effective robot possible. Image processing is necessary for object detection, and open source software is available now for this purpose. This paper proposes BLOB analysis for object detection of 5 fruits with different shapes and colors. The simulation results show that the proposed method is effective for object detection regardless the shapes, colors, and noises.
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Song, J. S., K. Maghsoudi, W. Li, E. Fox, J. Quackenbush, and X. Shirley Liu. "Microarray blob-defect removal improves array analysis." Bioinformatics 23, no. 8 (2007): 966–71. http://dx.doi.org/10.1093/bioinformatics/btm043.

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Couprie, Camille, Laurent Duval, Maxime Moreaud, Sophie Hénon, Mélinda Tebib, and Vincent Souchon. "BARCHAN: Blob Alignment for Robust CHromatographic ANalysis." Journal of Chromatography A 1484 (February 2017): 65–72. http://dx.doi.org/10.1016/j.chroma.2017.01.003.

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Saitoh, Machi, and Hiroshi Katsulai. "Detection of Blobs Using Variable Windows." Journal of Robotics and Mechatronics 7, no. 5 (1995): 404–9. http://dx.doi.org/10.20965/jrm.1995.p0404.

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A blob is a compact region in the image which is surrouded by a smoothly curved closed edge and, at the same time, is lighter or darker than the background. Many objects which are found in an image can be viewed as blobs. It is very important to quickly detect in an image the location of blobs for a wide range of applications of image analysis. In this paper, we propose a noniterative simple method of blob detection which is applicable to various forms of blobs by scanning an image with a size variable window, and does not require so much memory and time for computations because of its simplicity, and demonstrate its effectiveness through experiments.
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Petrovic, Vladimir, and Jelena Popovic-Bozovic. "A method for real-time memory efficient implementation of blob detection in large images." Serbian Journal of Electrical Engineering 14, no. 1 (2017): 67–84. http://dx.doi.org/10.2298/sjee1701067p.

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In this paper we propose a method for real-time blob detection in large images with low memory cost. The method is suitable for implementation on the specialized parallel hardware such as multi-core platforms, FPGA and ASIC. It uses parallelism to speed-up the blob detection. The input image is divided into blocks of equal sizes to which the maximally stable extremal regions (MSER) blob detector is applied in parallel. We propose the usage of multiresolution analysis for detection of large blobs which are not detected by processing the small blocks. This method can find its place in many applications such as medical imaging, text recognition, as well as video surveillance or wide area motion imagery (WAMI). We explored the possibilities of usage of detected blobs in the feature-based image alignment as well. When large images are processed, our approach is 10 to over 20 times more memory efficient than the state of the art hardware implementation of the MSER.
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Dissertations / Theses on the topic "Blob Analysis"

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Zhang, Hangning, and Clement Pirelli. "Shadows in 3D platformer games : A comparative analysis of shadowmaps and blob shadows." Thesis, Uppsala universitet, Institutionen för speldesign, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-413406.

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The challenges found in three-dimensional platformer games heavily rely on the player’s ability to perceive depth and it is therefore crucial for them to feature shadows as they are an important depth cue for the human visual system. In this paper, we compare two different kinds of shadowing solutions, blob shadows and shadow-maps. Subjects split into two groups each played a differently shadowed version of a 3D platformer game prototype as well as a common, unshadowed version. The first group’s prototype featured blob shadows while the second group’s used shadowmaps. The players were asked to input their own proficiency level from one to five into the program. The data collected through in-prototype logging to a file hinted at shadowmaps being more desirable as the shadowmap group’s delta from shadowed to unshadowed playthrough was lower than the blob shadow group’s. However, this data featured a number of problems, such as low sample size, subjective evaluation of player proficiency in 3D platformer games and different distribution of proficiency in and across groups.<br>Utmaningarna funna i tredimensionella platformsspel beror starkt på spelarens förmåga att uppfatta djup och det är därför avgörande för spelaren att ha skuggor eftersom de är en viktig antydan till djup för det mänskliga visuella systemet. I detta examensarbete jämför vi två olika typer av skuggningslösningar, “blob shadows” och “shadowmaps”. Försökspersonerna delades upp i två grupper, var och en spelade en annorlunda skuggad version av en prototyp för ett 3D-plattformsspel samt en ordinär, version utan skugga. Den första gruppens skuggor gjordes med “blob shadows” medan för den andra gruppen användes “shadowmaps”. Spelarna ombads att mata in sin egen kompetensnivå från ett till fem i programmet. Uppgifterna som samlats in via loggning i prototypen skrevs till en fil som antydde att “shadowmaps” var mer önskvärda eftersom “shadowmap”-gruppens delta från skuggad till icke-skuggad igenomspelning var lägre än skugga-gruppens. Dessa data innehöll emellertid ett antal problem, såsom låg provstorlek, subjektiv utvärdering av spelarens kunskaper i 3D-plattformsspel och olika spridning av kunskaper i och över grupper. Insikter för framtida forskning inkluderar skapandet av en objektiv ram för utvärdering för kunskaperna för spelarna såväl som förminskningen av prototypens omfattning.
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Moussa, Georges Fouad Mr. "EARLY FOREST FIRE DETECTION USING TEXTURE, BLOB THRESHOLD, AND MOTION ANALYSIS OF PRINCIPAL COMPONENTS." DigitalCommons@CalPoly, 2012. https://digitalcommons.calpoly.edu/theses/881.

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Forest fires constantly threaten ecological systems, infrastructure and human lives. The purpose behind this study is minimizing the devastating damage caused by forest fires. Since it is impossible to completely avoid their occurrences, it is essential to accomplish a fast and appropriate intervention to minimize their destructive consequences. The most traditional method for detecting forest fires is human based surveillance through lookout towers. However, this study presents a more modern technique. It utilizes land-based real-time multispectral video processing to identify and determine the possibility of fire occurring within the camera’s field of view. The temporal, spectral, and spatial signatures of the fire are exploited. The methods discussed include: (1) Range filtering followed by entropy filtering of the infrared (IR) video data, and (2) Principal Component Analysis of visible spectrum video data followed by motion analysis and adaptive intensity threshold. The two schemes presented are tailored to detect the fire core, and the smoke plume, respectively. Cooled Midwave Infrared (IR) camera is used to capture the heat distribution within the field of view. The fire core is then isolated using texture analysis techniques: first, range filtering applied on two consecutive IR frames, and then followed by entropy filtering of their absolute difference. Since smoke represents the earliest sign of fire, this study also explores multiple techniques for detecting smoke plumes in a given scene. The spatial and temporal variance of smoke plume is captured using temporal Principal Component Analysis, PCA. The results show that a smoke plume is readily segmented via PCA applied on the visible Blue band over 2 seconds sampled every 0.2 seconds. The smoke plume exists in the 2nd principal component, and is finally identified, segmented, and isolated, using either motion analysis or adaptive intensity threshold. Experimental results, obtained in this study, show that the proposed system can detect smoke effectively at a distance of approximately 832 meters with a low false-alarm rate and short reaction time. Applied, such system would achieve early forest fire detection minimizing fire damage. Keywords: Image Processing, Principal Component Analysis, PCA, Principal Component, PC, Texture Analysis, Motion Analysis, Multispectral, Visible, Cooled Midwave Infrared, Smoke Signature, Gaussian Mixture Model.
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Ter, Haak Martin. "Machine learning for blob detection in high-resolution 3D microscopy images." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-232114.

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The aim of blob detection is to find regions in a digital image that differ from their surroundings with respect to properties like intensity or shape. Bio-image analysis is a common application where blobs can denote regions of interest that have been stained with a fluorescent dye. In image-based in situ sequencing for ribonucleic acid (RNA) for example, the blobs are local intensity maxima (i.e. bright spots) corresponding to the locations of specific RNA nucleobases in cells. Traditional methods of blob detection rely on simple image processing steps that must be guided by the user. The problem is that the user must seek the optimal parameters for each step which are often specific to that image and cannot be generalised to other images. Moreover, some of the existing tools are not suitable for the scale of the microscopy images that are often in very high resolution and 3D. Machine learning (ML) is a collection of techniques that give computers the ability to ”learn” from data. To eliminate the dependence on user parameters, the idea is applying ML to learn the definition of a blob from labelled images. The research question is therefore how ML can be effectively used to perform the blob detection. A blob detector is proposed that first extracts a set of relevant and nonredundant image features, then classifies pixels as blobs and finally uses a clustering algorithm to split up connected blobs. The detector works out-of-core, meaning it can process images that do not fit in memory, by dividing the images into chunks. Results prove the feasibility of this blob detector and show that it can compete with other popular software for blob detection. But unlike other tools, the proposed blob detector does not require parameter tuning, making it easier to use and more reliable.<br>Syftet med blobdetektion är att hitta regioner i en digital bild som skiljer sig från omgivningen med avseende på egenskaper som intensitet eller form. Biologisk bildanalys är en vanlig tillämpning där blobbar kan beteckna intresseregioner som har färgats in med ett fluorescerande färgämne. Vid bildbaserad in situ-sekvensering för ribonukleinsyra (RNA) är blobbarna lokala intensitetsmaxima (dvs ljusa fläckar) motsvarande platserna för specifika RNA-nukleobaser i celler. Traditionella metoder för blob-detektering bygger på enkla bildbehandlingssteg som måste vägledas av användaren. Problemet är att användaren måste hitta optimala parametrar för varje steg som ofta är specifika för just den bilden och som inte kan generaliseras till andra bilder. Dessutom är några av de befintliga verktygen inte lämpliga för storleken på mikroskopibilderna som ofta är i mycket hög upplösning och 3D. Maskininlärning (ML) är en samling tekniker som ger datorer möjlighet att “lära sig” från data. För att eliminera beroendet av användarparametrar, är tanken att tillämpa ML för att lära sig definitionen av en blob från uppmärkta bilder. Forskningsfrågan är därför hur ML effektivt kan användas för att utföra blobdetektion. En blobdetekteringsalgoritm föreslås som först extraherar en uppsättning relevanta och icke-överflödiga bildegenskaper, klassificerar sedan pixlar som blobbar och använder slutligen en klustringsalgoritm för att dela upp sammansatta blobbar. Detekteringsalgoritmen fungerar utanför kärnan, vilket innebär att det kan bearbeta bilder som inte får plats i minnet genom att dela upp bilderna i mindre delar. Resultatet visar att detekteringsalgoritmen är genomförbar och visar att den kan konkurrera med andra populära programvaror för blobdetektion. Men i motsats till andra verktyg behöver den föreslagna detekteringsalgoritmen inte justering av sina parametrar, vilket gör den lättare att använda och mer tillförlitlig.
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Vostřel, Tomáš. "Řídicí integrovaný systém pro rozpoznávání obrobků." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2020. http://www.nusl.cz/ntk/nusl-413147.

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The diploma thesis deals with the usage of integrated machine vision by B&R, Smart Sensor, for metal rectangular-shaped workpiece recognition and position determinition. The description of the usage of machine vision in the industry is made, the solution concept is created and the program and the user visualisation implemented. The main outcome of this work is the VITemplate library which can be used in combination with the model-based Blob analysis implemented in Smart Sensor to control the robotic arm to successfully grab all the workpieces on the belt.
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Gonulsen, Aysegul. "Feature Extraction Of Honeybee Forewings And Hindlegs Using Image Processing And Active Contours." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/12604738/index.pdf.

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Honeybees have a rich genetic diversity in Anatolia. This is reflected in the presence of numerous subspecies of honeybee in Turkey. In METU, Department of Biology, honeybee populations of different regions in Turkey are investigated in order to characterize population variation in these regions. A total of 23 length and angle features belonging to the honeybee hindlegs and forewings are measured in these studies using a microscope and a monitor. These measurements are carried out by placing rulers on the monitor that shows the honeybee image and getting the length and angle features. However, performing measurements in this way is a time consuming process and is open to human-dependent errors. In this thesis, a &ldquo<br>semi-automated honeybee feature extraction system&rdquo<br>is presented. The aim is to increase the efficiency by decreasing the time spent on handling these measurements and by increasing the accuracy of measured hindleg and forewing features. The problem is studied from the acquisition of the microscope images, to the feature extraction of the honeybee features. In this scope, suitable methods are developed for segmentation of honeybee hindleg and forewing images. Within intermediate steps, blob analysis is utilized, and edges of the forewing and hindlegs are thinned using skeletonization. Templates that represent the forewing and hindleg edges are formed by either Bezier Curves or Polynomial Interpolation. In the feature extraction phase, Active Contour (Snake) algorithm is applied to the images in order to find the critical points using these templates.
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Hake, André bei der. "Flight Pattern Analysis : Prediction of future activity to calculate the possibility of collision between flying objects and structures." Thesis, Mittuniversitetet, Avdelningen för elektronikkonstruktion, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-29202.

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This report shows that a reliable motion detection is needed to make an accurate prediction of future activity. Several experiments are carried out to obtain information about the object ́s behaviour and the best settings for the motion detection. A moving object is captured using two cameras, for two image sequences, and motion detection is applied to the stereoscopic data. Background subtraction algorithm followed by image segmentation algorithm, morphology algorithm, and blob analy- sis are performed on the images to find the coordinates for the centroid of the moving object. Two models are created to make a statistical inter- pretation of the data: one model for the height over the width and one statistical model for the distance between the cameras and the moving object over the width. The mean and standard deviation values are calculated to make a reliable interpretation of the captured images and the moving object. The Kalman filter is used for the prediction of future activity. The filters of the statistical models are trained with the first coordinates of the detected balls, and the next coordinates are predicted.
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Zavistanavičiūtė, Rasa. "Object detection algorithms analysis and implementation for augmented reality system." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2013. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2012~D_20131105_093556-36296.

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Object detection is the initial step in any image analysis procedure and is essential for the performance of object recognition and augmented reality systems. Research concerning the detection of edges and blobs is particularly rich and many algorithms or methods have been proposed in the literature. This master‟s thesis presents 4 most common blob and edge detectors, proposes method for detected numbers separation and describes the experimental setup and results of object detection and detected numbers separation performance. Finally, we determine which detector demonstrates the best results for mobile augmented reality system.<br>Objektų aptikimas yra pagrindinis žingsnis vaizdų analizės procese ir yra pagrindinis veiksnys apibrėžiantis našumą objektų atpažinimo ir papildytosios realybės sistemose. Literatūroje gausu metodų ir algoritmų aprašančių sričių ir ribų aptikimą. Šiame magistro laipsnio darbe aprašomi 4 dažniausiai naudojami sričių ir ribų aptikimo algoritmai, pasiūlomas metodas aptiktų skaičių atskyrimo problemai išspręsti. Pateikiami atliktų eksperimentų rezultatai, palyginmas šių algoritmų našumas. Galiausiai yra nustatoma, kuris iš jų yra geriausias.
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Lindeberg, Tony. "Discrete Scale-Space Theory and the Scale-Space Primal Sketch." Doctoral thesis, KTH, Numerisk analys och datalogi, NADA, 1991. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-58570.

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This thesis, within the subfield of computer science known as computer vision, deals with the use of scale-space analysis in early low-level processing of visual information. The main contributions comprise the following five subjects: The formulation of a scale-space theory for discrete signals. Previously, the scale-space concept has been expressed for continuous signals only. We propose that the canonical way to construct a scale-space for discrete signals is by convolution with a kernel called the discrete analogue of the Gaussian kernel, or equivalently by solving a semi-discretized version of the diffusion equation. Both the one-dimensional and two-dimensional cases are covered. An extensive analysis of discrete smoothing kernels is carried out for one-dimensional signals and the discrete scale-space properties of the most common discretizations to the continuous theory are analysed. A representation, called the scale-space primal sketch, which gives a formal description of the hierarchical relations between structures at different levels of scale. It is aimed at making information in the scale-space representation explicit. We give a theory for its construction and an algorithm for computing it. A theory for extracting significant image structures and determining the scales of these structures from this representation in a solely bottom-up data-driven way. Examples demonstrating how such qualitative information extracted from the scale-space primal sketch can be used for guiding and simplifying other early visual processes. Applications are given to edge detection, histogram analysis and classification based on local features. Among other possible applications one can mention perceptual grouping, texture analysis, stereo matching, model matching and motion. A detailed theoretical analysis of the evolution properties of critical points and blobs in scale-space, comprising drift velocity estimates under scale-space smoothing, a classification of the possible types of generic events at bifurcation situations and estimates of how the number of local extrema in a signal can be expected to decrease as function of the scale parameter. For two-dimensional signals the generic bifurcation events are annihilations and creations of extremum-saddle point pairs. Interpreted in terms of blobs, these transitions correspond to annihilations, merges, splits and creations. Experiments on different types of real imagery demonstrate that the proposed theory gives perceptually intuitive results.<br><p>QC 20120119</p>
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Hendrick, Stephanie. "Beyond the Blog." Doctoral thesis, Umeå universitet, Institutionen för språkstudier, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-51503.

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This dissertation examines weblog community as a materially afforded and socially constructed space. In a set of three case studies, this dissertation examines three separate weblog communities between 2004 and 2008. CASE STUDY I looks at knowledge management bloggers in order to better understand how bloggers form communities. In this case study, it will be shown that blogs group thematically and in temporal bursts. These bursts of thematic activity allow for movement in and out of a community, as well as act as a bridge between different weblog communities. CASE STUDY II examines two pseudonymous bloggers in order to better understand how presentation and identity is understood in blogging. It will be shown in CASE STUDY II that social identity in weblog communities is negotiated through blogging practices such as transparency in writing and truthful presentation. CASE STUDY III delves further into social identity by examining a community of academic bloggers and how traditional, institutionalized expectations influence social identity over time, and if this influence differs in the core and periphery of the community. It will be shown in CASE STUDY III that there is indeed a difference in how social identity is negotiated and performed between core and periphery members of a weblog community. Finally, a model towards an integrated approach to researching blogs is put forth.
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Abdul, Kadhim Rasheed Maan. "On blow-up solutions of parabolic problems." Thesis, University of Sussex, 2012. http://sro.sussex.ac.uk/id/eprint/42740/.

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This thesis is concerned with the study of the Blow-up phenomena for parabolic problems, which can be defined in a basic way as the inability to continue the solutions up to or after a finite time, the so called blow-up time. Namely, we consider the blow-up location in space and its rate estimates, for special cases of the following types of problems: (i) Dirichlet problems for semilinear equations, (ii) Neumann problems for heat equations, (iii) Neumann problems for semilinear equations, (iv) Dirichlet (Cauchy) problems for semilinear equations with gradient terms. For problems of type (i), (ii), we extend some known blow-up results of parabolic problems with power and exponential type nonlinearities to problems with nonlinear terms, which grow faster than these types of functions for large values of solutions. Moreover, under certain conditions, some blow-up results of the single semilinear heat equation are extended to the coupled systems of two semilinear heat equations. For problems of type (iii), we study how the reaction terms and the nonlinear boundary terms affect the blow-up properties of the blow-up solutions of these problems. The noninuence of the gradient terms on the blow-up bounds is showed for problems of type (iv).
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Books on the topic "Blob Analysis"

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Myers, Greg. Blog and wiki discourse. Continuum, 2009.

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Riverbend. Baghdad burning II: More girl blog from Iraq. The Feminist Press, 2007.

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service), SpringerLink (Online, ed. Blow-up Theories for Semilinear Parabolic Equations. Springer-Verlag Berlin Heidelberg, 2011.

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service), SpringerLink (Online, ed. Blow-up theories for semilinear parabolic equations. Springer, 2011.

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U.S. Nuclear Regulatory Commission. Office of Nuclear Regulatory Research. and Central Electricity Research Laboratories, eds. Analysis of LOBI test BLO2 (three percent cold leg break) with RELAP5 code. Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1992.

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Riedel, Magalí Pérez. Género y diversidad sexual en el blog "Boquitas pintadas". Universidad Nacional de Quilmes, Departamento de Ciencas Sociales, Unidad de Publicaciones para la Comunicación Social de la Ciencia, 2014.

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author, Mitidieri Enzo, and Pokhozhaev S. I. author, eds. Blow-up for higher-order parabolic, hyperbolic, dispersion and Schrödinger equations. CRC Press, Taylor & Francis Group, 2015.

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Bod Gźuṅ Dbus Sman-rtsis-khaṅ (Dharmsāla, India). Sman-rdzas Ñams-źib Sde-tshan., ред. Bod kyi gso rig daṅ a yur we dha kruṅ dbyiʼi sman gźuṅ bcas las btsan paʼi skye dṅos sman rdzas kyi dpar ris daṅ lag len gces btus blo gsar rig paʼi sgo byed ces bya ba bźugs so. Bdo-gźuṅ Sman-rtsis-khaṅ gi Sman-rdzas Ñams-źib Sde-tshan nas dpar du bskrun, 2008.

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Anonyma. Blow-Pipe Analysis. Creative Media Partners, LLC, 2023.

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Shirono, Kazuko. Yen Bloc or Yuan Bloc: An Analysis of Currency Arrangements in East Asia. International Monetary Fund, 2009.

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Book chapters on the topic "Blob Analysis"

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Paulsen, Rasmus R., and Thomas B. Moeslund. "BLOB Analysis." In Undergraduate Topics in Computer Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39364-9_7.

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Moeslund, Thomas B. "BLOB Analysis." In Undergraduate Topics in Computer Science. Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2503-7_7.

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Cui, Yi, and Nan Zhou. "Blob Analysis Using Watershed Transformation." In Intelligent Problem Solving. Methodologies and Approaches. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-45049-1_58.

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Forssén, Per-Erik, and Gösta Granlund. "Robust Multi-scale Extraction of Blob Features." In Image Analysis. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-45103-x_3.

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Charles, R. Arokia Priya, and Anupama V. Patil. "Depth Estimation Using Blob Detection for Stereo Vision Images." In ICT Analysis and Applications. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8354-4_22.

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Kerr, Dermot, Sonya Coleman, and Bryan Scotney. "A Finite Element Blob Detector for Robust Features." In Image Analysis and Processing – ICIAP 2011. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24085-0_52.

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Khan, Muhammad, Muhammad Nawaz, Qazi Nida-Ur-Rehman, et al. "Multiple Moving Vehicle Speed Estimation Using Blob Analysis." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16184-2_30.

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Ferraz, Luis, and Xavier Binefa. "A Scale Invariant Interest Point Detector for Discriminative Blob Detection." In Pattern Recognition and Image Analysis. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02172-5_31.

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Onhirun, Nippitch, and Pattama Charoenporn. "Automatical IVUS Image Segmentation and Detection Using BLOB Analysis." In Proceedings of the 18th International Conference on Computing and Information Technology (IC2IT 2022). Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99948-3_1.

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Cho, Sue J., and Suk I. Yoo. "MCEBC — A Blob Coloring Algorithm for Content-Based Image Retrieval System." In Computer Analysis of Images and Patterns. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48375-6_2.

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Conference papers on the topic "Blob Analysis"

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Burford, Richard G. "Real Time Blob Analysis Hardware." In Robotics and IECON '87 Conferences, edited by Rolf-Juergen Ahlers and Michael J. W. Chen. SPIE, 1988. http://dx.doi.org/10.1117/12.942838.

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Donoser, Michael, Horst Bischof, and Mario Wiltsche. "Color Blob Segmentation by MSER Analysis." In 2006 International Conference on Image Processing. IEEE, 2006. http://dx.doi.org/10.1109/icip.2006.312422.

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Matri, Pierre, Alexandru Costan, Gabriel Antoniu, Jesus Montes, and Maria S. Perez. "Týr: Blob Storage Meets Built-In Transactions." In SC16: International Conference for High Performance Computing, Networking, Storage and Analysis. IEEE, 2016. http://dx.doi.org/10.1109/sc.2016.48.

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Jia, Tao, Nong-liang Sun, and Mao-yong Cao. "Moving object detection based on blob analysis." In 2008 IEEE International Conference on Automation and Logistics (ICAL). IEEE, 2008. http://dx.doi.org/10.1109/ical.2008.4636168.

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Ho, Edward Y. T., and Andrew E. Todd-Prokropek. "Iterative Preconditioned Steepest Descent Reconstruction using Blob-Based Basis Functions." In 2007 5th International Symposium on Image and Signal Processing and Analysis. IEEE, 2007. http://dx.doi.org/10.1109/ispa.2007.4383749.

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Ganokratanaa, Thittaporn, and Suree Pumrin. "The vision-based hand gesture recognition using blob analysis." In 2017 International Conference on Digital Arts, Media and Technology (ICDAMT). IEEE, 2017. http://dx.doi.org/10.1109/icdamt.2017.7904987.

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Zhou, Hailing, Lyndon Llewellyn, Lei Wei, Doug Creighton, and Saeid Nahavandi. "Marine Object Detection Using Background Modelling and Blob Analysis." In 2015 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2015. http://dx.doi.org/10.1109/smc.2015.86.

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Jagadeesh, B., and Chandrashekar M. Patil. "Multiple human tracking using Blob analysis and Kalman filtering." In Third International Conference on Current Trends in Engineering Science and Technology ICCTEST-2017. Grenze Scientific Society, 2017. http://dx.doi.org/10.21647/icctest/2017/49078.

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Zavadil, Jaromir, Jiri Tuma, and Vitor M. F. Santos. "Traffic signs detection using blob analysis and pattern recognition." In 2012 13th International Carpathian Control Conference (ICCC). IEEE, 2012. http://dx.doi.org/10.1109/carpathiancc.2012.6228752.

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Athrey, Kishan S., Bharat M. Kambalur, and K. Krishna Kumar. "Traffic Sign Recognition using Blob Analysis and Template Matching." In ICCCT '15: Sixth International Conference on Computer and Communication Technology 2015. ACM, 2015. http://dx.doi.org/10.1145/2818567.2818609.

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Reports on the topic "Blob Analysis"

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ชวนชื่น, รุ่งทิพย์, та อินทิรา กระหม่อมทอง. การผลิตโพลีโคลนอลแอนติบอดี้ที่มีความจำเพาะต่อโปรตีน ของระบบมัลติดรักซ์อิฟรักซ์ในเชื้อสูโดโมนาส แอรูจิโนซา : รายงานผลการวิจัย. จุฬาลงกรณ์มหาวิทยาลัย, 2006. https://doi.org/10.58837/chula.res.2006.85.

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ระบบ Multidrug efflux systems ได้แก่ MexAB-OprM, MexCD-OprJ, MexEF-OprN และ MexXY เป็นกลไกสำคัญของการดื้อต่อยาหลายชนิดพร้อมกันในสูโดโมนาส แอรูจิโนซา ในการวิจัยครั้งนี้ได้ผลิตโพลีโคลนอลแอนติบอดี้ต่อ OprM OprN และ OprJ เพื่อใช้ตรวจการแสดงออกของระบบด้วยเทคนิค Western blot analysis โดยฉีดกระตุ้นภูมิคุ้มกันในกระต่ายด้วยเปปไตด์สังเคราะห์ ทำการทดสอบคุณภาพของไฮเปอร์อิมมูนซีรั่มด้วยการทำ Western blot โดยใช้โปรตีนที่เตรียมได้จากเชื้อที่มีและไม่มีการแสดงออกของระบบที่เกี่ยวข้องเป็นตัวควบคุมบวกและตัวควบคุมลบ จากผลการวิจัยพบว่าโพลีโคลนอลแอนติบอดี้ที่ผลิตได้สามารถใช้ตรวจหาการแสดงออกของ OprM OprN และ OprJ ในการทดสอบปฏิกิริยาข้าม พบว่า OprJ polyclonal antibody ให้แถบขนาดประมาณ 53 Mda ต่อโปรตีนจาก OCR1 และ PAO7H ควรศึกษาเพิ่มเติมว่าเป็นปฏิกิริยาข้ามกับ OprM และ OprN จริงหรือไม่ รวมทั้งควรมีการสกัดโพลีโคลนอลแอนติบอดีให้บริสุทธิ์เพื่อเพิ่มความเข้มข้นและความจำเพาะ นอกจากนี้ได้สร้าง delta(mexXY) null mutant ที่สามารถใช้เป็นตัวควบคุมลบสำหรับการทดสอบการแสดงออกของ MexX ได้อย่างมีประสิทธิภาพ
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Little, Stephen F. Western Blot Analysis of the Exotoxin Components From Bacillus anthracis Separated by Isoelectric Focusing Gel Electrophoresis. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada435242.

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Willis, Craig, Will Hughes, and Sergiusz Bober. ECMI Minorities Blog. National and Linguistic Minorities in the Context of Professional Football across Europe: Five Examples from Non-kin State Situations. European Centre for Minority Issues, 2022. http://dx.doi.org/10.53779/bvkl7633.

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Football clubs are often analysed by scholars as ‘imagined communities’, for no fan of any team will ever meet, or even be aware of most of their fellow supporters on an individual level. They are also simultaneously one of the most tribal phenomena of the twenty-first century, comparable to religion in terms of the complexity of rituals, their rhythm and overall organizational intricacies, yet equally inseparable from economics and politics. Whilst, superficially, the events of sporting fixtures carry little political significance, for many of Europe’s national and linguistic minorities football fandom takes on an extra dimension of identity – on an individual and collective scale, acting as a defining differentiation from the majority society. This blogpost analyses five clubs from non-kin state settings, with the intention to assess how different aspects of minority identities affect their fan bases, communication policies and other practices.
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Pokryshen, Dmytro A., Evgeniy H. Prokofiev, and Albert A. Azaryan. Blogger and YouTube services at a distant course “Database management system Microsoft Access”. [б. в.], 2019. http://dx.doi.org/10.31812/123456789/3272.

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The article is devoted to the coverage of the course “Database management system Microsoft Access”, an educational blog review “The development of a creative child. ІCТ”, which is used as an auxiliary tool for promoting a course and teacher in the Internet, structural analysis of this blog is made. The channel location is set on YouTube video hosting and how it is used in the course on databases. Attention is drawn to the fact that theoretical and practical material is considered on real, implemented informational and analytical systems. To prepare students for the Olympiads and provide methodological help teachers of computer science are looking at tasks from databases that were offered at the All-Ukrainian Olympiads on Information Technologies, especially II, III and IV stages (offline and online Olympiads), which are located in open access to the blog and YouTube channel. The main focus of the article is devoted to the practical side of teaching teachers of computer science, experience in using the above technologies.
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Willis, Craig, Will Hughes, and Sergiusz Bober. ECMI Minorities Blog. National and Linguistic Minorities in the Context of Professional Football across Europe: Five Examples from Kin-State Situations. European Centre for Minority Issues, 2023. http://dx.doi.org/10.53779/sbcm3981.

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A strong aspect of civil society, football clubs are often a visible marker of identity and this can be especially so in regions with a distinct culture or language. In a follow-up blogpost to their piece on five football clubs in non-kin state settings, the authors expand to analyse five clubs from kin-state settings across Europe. Looking at the political landscape in which the clubs operate as well as the visible linguistic difference from the majority population, the blogpost offers a variety of examples ranging in their degrees of salience. The kin-state aspect brings in a third actor alongside the minority and majority population, with the extent to which the kin is actively involved being one of the differing variables identified. In addition, this blogpost also features extended conclusionary paragraphs which bring in the comparative dimension of kin-state/non-kin-state across the ten clubs analysed in the two blogposts.
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Flôres Jr., Renato G., and Masakazu Watanuki. Integration Options for MERCOSUR: A Quantitative Analysis by the AMIDA Model. Inter-American Development Bank, 2008. http://dx.doi.org/10.18235/0011055.

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The recent developments at the multilateral and regional fronts call for a re-evaluation of trade and integration options for MERCOSUR. Applying a brand new CGE model, we evaluated six scenarios. The simulation results indicate that trade agreements will generate relatively small but positive gains. Integration with the Unites States and the European Union, two key partners, will have somewhat divergent and opposite outcomes. Agriculture will be a clear winner, while MERCOSUR has competitiveness issue in capital-intensive manufacturing sectors. It is revealed that the bloc's present trade policy is on a right track. Nevertheless it is undoubtedly important for the bloc to clinch regional initiatives with long-term perspective, and essential to streamline and modernize their productive sectors for sustained trade balance and growth.
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Duncan, Seira. ECMI Minorities Blog. Indigenous languages and psychological well-being: Comparing educational, healthcare and employment opportunities in Greenland, Sápmi, and Scotland. European Centre for Minority Issues, 2023. http://dx.doi.org/10.53779/gvxp1463.

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The past several years have seen increased documentation of the association between indigenous language utilisation and psychological well-being. Scotland is the northernmost non-Arctic country and has been fostering ties with its northern counterparts in recent years; like Greenland and Sápmi, it has indigenous languages. This post compares educational, healthcare, and employment opportunities in these regions and analyses the wider psychological implications of indigenous language utilisation in these sectors. While there appears to be room for improvement in all sectors in the three regions, Greenland, Sápmi, and Scotland will likely benefit from strengthening cross-regional dialogues.
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Calderón, Claudia, Anamaría Núñez, and Z’leste Wanner. Speaking of Water: Digital conversation on water and sanitation in Latin America and the Caribbean (2016-2017). Inter-American Development Bank, 2018. http://dx.doi.org/10.18235/0006446.

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Public digital conversations can offer valuable insight into how issues are being covered and discussed in online news and social platforms. This study compiles over one million news articles, blog posts and tweets that reference water and sanitation issues from October 1, 2016 to September 30, 2017 in Spanish, English and Portuguese. The analysis seeks to uncover trends, key topic areas, and patterns in public conversations particularly around the Sustainable Development Goals to guide actors working on communications around water and sanitation, particularly in an international development context.
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Willis, Craig. ECMI Minorities Blog. Minority Language Media and TikTok: Are Broadcasters Showing They Are Still Relevant for Younger Audiences? European Centre for Minority Issues, 2023. http://dx.doi.org/10.53779/qlmm1477.

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Whilst younger audiences move away from traditional forms of media consumption, public broadcasters – including those in minority languages – have long been facing declining viewing figures in terms of linear television. At the same time, social media consumption habits are diverging along a generational gap – younger audiences favour TikTok and Instagram over Facebook or Twitter. This blogpost sheds light on one element of this, analysing the attempts of institutional actors – in this case minority language broadcasters – to reach different audience segments by creating content directly through TikTok. Concentrated focus is placed on the Welsh language broadcaster S4C, the Galician language broadcaster TVG and the Catalan language broadcaster TV3, with the conclusions pointing towards greater levels of success for their sub-brands which adopt a less-formal, non-institutionalised approach. The positive examples suggest minority language media are finding ways to adapt to contemporary challenges and that their role for younger generations was perhaps neglected too soon by some critics.
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Buaboocha, Teerapong, and Supachitra Chadchawan. Effect of transgenic expression in rice of a calmodulin on salt stress response. Chulalongkorn University, 2009. https://doi.org/10.58837/chula.res.2009.31.

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Calcium signaling has been implicated in transducing signals from environmental changes into adaptive responses in plants. Calmodulin (CaM), members of the EF-hand family of Ca2+-binding proteins, represent important relays in plant calcium signals. Here, transgenic rice plants containing OsCam1-1 gene under the control of 35SCaMV promoter (35SCaMV-OsCam1-1) were constructed by Agrobacterium-mediated transformation via pCAMBIA1301 plasmid. Three putative transgenic rice lines harboring the 35SCaMV-OsCam1-1 and two putative transgenic lines harboring the T-DNA from pCAMBIA1301 alone as negative controls have been produced. PCR analyses confirm that all transgenic plants harboring the 35SCaMV-OsCam1-1 with positive histochemical assay of the GUS reporter gene contain the OsCam1-1 transgene in their genomes. Northern blot analysis indicates that expression of the OsCam1-1 gene was highly increased in these transgenic lines. As a result, transgenic plants over-expressing this gene exhibited higher growth rate and better resistance to salt stress than the control plants. In addition, OsCam1-1-over-expressing plants were shown to contain higher levels of ABA than the control plants when grown in normal conditions or under salt stress. These results suggest that the OsCam1-1 gene product functions as a sensor for salt stress-induced calcium signals that lead to ABA biosynthesis, which in turn helps the plant to cope with salt stress.
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