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Artykuły w czasopismach na temat „Blob Extraction”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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1

Huang, Xiao Yin, and Ning Fang. "Feature Points Extraction of Chinese Characters Based on Blob Algorithm." Advanced Materials Research 433-440 (January 2012): 4214–19. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.4214.

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The feature points extraction plays an essential role in modeling structure of Chinese characters for accurate recognition. The distortions caused by the thinning process make the thinning-based stroke segmentation difficult for extracting feature points and handle the ambiguous intersection regions. This paper proposes a novel method that overcomes the distortions to extract feature points from the thinned Chinese characters. Firstly, we use eight structural elements to thin a Chinese character in a series combined way, and then segment different kinds of strokes according to their properties

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Szuster, Piotr. "Blob Extraction Algorithm in Detection of Convective Cells for Data Fusion." Journal of Telecommunications and Information Technology 4, no. 2019 (2019): 65–73. http://dx.doi.org/10.26636/jtit.2019.135319.

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Earth’s atmosphere is monitored by a multitude of sensors. It is the troposphere that is of crucial importance for human activity, as it is there that the weather phenomena take place. Weather observations are performed by surface sensors monitoring, inter alia, humidity, temperature and winds. In order to observe the developments taking place in the atmosphere, especially in the clouds, weather radars are commonly used. They monitor severe weather that is associated with storm clouds, cumulonimbuses, which create precipitation visible on radar screens. Therefore, radar images can be utilized

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SHI, Xiao-cheng, Li-chao HAO, Wei ZHANG, and Di WU. "Underwater targets extraction method based on Blob analysis and Bayesian design-making." Journal of Computer Applications 32, no. 11 (2013): 3214–17. http://dx.doi.org/10.3724/sp.j.1087.2012.03214.

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Vasuhi, S., A. Samydurai, and Vijayakumar M. "Multicamera Video Stitching for Multiple Human Tracking." International Journal of Computer Vision and Image Processing 11, no. 1 (2021): 17–38. http://dx.doi.org/10.4018/ijcvip.2021010102.

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In this paper, a novel approach is proposed to track humans for video surveillance using multiple cameras and video stitching techniques. SIFT key points are extracted from all camera inputs. Using k-d tree algorithm, all the key points are matched and random sample consensus (RANSAC) is used to identify the match correspondence among all the matched points. Homography matrix is calculated using four matched robust feature correspondences, the images are warped with respect to the other images, and the human tracking is performed on the stitched image. To identify the human in the stitched vid

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Murawwat, Sadia, Armish Qureshi, Saleha Ahmad, and Yousaira Shahid. "Weed Detection Using SVMs." Engineering, Technology & Applied Science Research 8, no. 1 (2018): 2412–16. https://doi.org/10.5281/zenodo.1207236.

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The major concern in Pakistani agriculture is the reduction of growing weed. This research aims to provide a weed detection tool for future agri-robots. The weed detection tool incorporates the use of machine-learning procedure explicitly implementing Support Vector Machines (SVMs) and blob analysis for the effective classification of crop and weed. Weed revealing is based on characteristic features i.e. red green blue (RGB) components which differentiate soil and plant. Morphological features—centroidand length aid to distinguish shape of crop and weed leaves. Following feature extracti

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Yao, Li, and Miaogen Ling. "An Improved Mixture-of-Gaussians Background Model with Frame Difference and Blob Tracking in Video Stream." Scientific World Journal 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/424050.

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Modeling background and segmenting moving objects are significant techniques for computer vision applications. Mixture-of-Gaussians (MoG) background model is commonly used in foreground extraction in video steam. However considering the case that the objects enter the scenery and stay for a while, the foreground extraction would fail as the objects stay still and gradually merge into the background. In this paper, we adopt a blob tracking method to cope with this situation. To construct the MoG model more quickly, we add frame difference method to the foreground extracted from MoG for very cro

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Mayer, Rulon, Baris Turkbey, and Charles B. Simone. "Autonomous Tumor Signature Extraction Applied to Spatially Registered Bi-Parametric MRI to Predict Prostate Tumor Aggressiveness: A Pilot Study." Cancers 16, no. 10 (2024): 1822. http://dx.doi.org/10.3390/cancers16101822.

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Background: Accurate, reliable, non-invasive assessment of patients diagnosed with prostate cancer is essential for proper disease management. Quantitative assessment of multi-parametric MRI, such as through artificial intelligence or spectral/statistical approaches, can provide a non-invasive objective determination of the prostate tumor aggressiveness without side effects or potential poor sampling from needle biopsy or overdiagnosis from prostate serum antigen measurements. To simplify and expedite prostate tumor evaluation, this study examined the efficacy of autonomously extracting tumor

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Yuan, Lihua, Xiao Zhu, Quanbin Sun, Haibo Liu, Peter Yuen, and Yonghuai Liu. "Automatic Extraction of Material Defect Size by Infrared Image Sequence." Applied Sciences 10, no. 22 (2020): 8248. http://dx.doi.org/10.3390/app10228248.

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A typical pulsed thermography procedure results in a sequence of infrared images that reflects the evolution of temperature over time. Many features of defects, such as shape, position, and size, are derived from single image by image processing. Hence, determining the key frame from the sequence is an important problem to be solved first. A maximum standard deviation of the sensitive region method was proposed, which can identify a reasonable image frame automatically from an infrared image sequence; then, a stratagem of image composition was applied for enhancing the detection of deep defect

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Kurar Barakat, Berat, Rafi Cohen, Ahmad Droby, Irina Rabaev, and Jihad El-Sana. "Learning-Free Text Line Segmentation for Historical Handwritten Documents." Applied Sciences 10, no. 22 (2020): 8276. http://dx.doi.org/10.3390/app10228276.

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We present a learning-free method for text line segmentation of historical handwritten document images. This method relies on automatic scale selection together with second derivative of anisotropic Gaussian filters to detect the blob lines that strike through the text lines. Detected blob lines guide an energy minimization procedure to extract the text lines. Historical handwritten documents contain noise, heterogeneous text line heights, skews and touching characters among text lines. Automatic scale selection allows for automatic adaption to the heterogeneous nature of handwritten text line

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Murawwat, S., A. Qureshi, S. Ahmad, and Y. Shahid. "Weed Detection Using SVMs." Engineering, Technology & Applied Science Research 8, no. 1 (2018): 2412–16. http://dx.doi.org/10.48084/etasr.1647.

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The major concern in Pakistani agriculture is the reduction of growing weed. This research aims to provide a weed detection tool for future agri-robots. The weed detection tool incorporates the use of machine-learning procedure explicitly implementing Support Vector Machines (SVMs) and blob analysis for the effective classification of crop and weed. Weed revealing is based on characteristic features i.e. red green blue (RGB) components which differentiate soil and plant. Morphological features—centroidand length aid to distinguish shape of crop and weed leaves. Following feature extraction, th

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11

Young, Andrew, James Mahan, William Dodge, and Paxton Payton. "BLOB-Based AOMs: A Method for the Extraction of Crop Data from Aerial Images of Cotton." Agriculture 10, no. 1 (2020): 19. http://dx.doi.org/10.3390/agriculture10010019.

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The use of aerial imagery in agriculture is increasing. Improvements in unmanned aerial systems (UASs) and the hardware and software used to analyze imagery are presenting new options for agricultural studies. One of the challenges associated with improving crop performance under water deficit conditions is the increased variability in the growth and development inherent in low water settings. The nature of plant growth and development under water deficits makes it difficult to monitor the response to environmental changes. Small field and plot-level experiments are often variable enough that

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12

Vijayarajan, S. M., and P. Jaganathan. "Detection and Classification of Breast Masses Using Blob-Based ROI Extraction and Lattice Boltzmann Segmentation." Journal of Computational and Theoretical Nanoscience 13, no. 1 (2016): 993–98. http://dx.doi.org/10.1166/jctn.2016.4416.

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Dong, Youqiang, Li Zhang, Ximin Cui, Haibin Ai, and Biao Xu. "Extraction of Buildings from Multiple-View Aerial Images Using a Feature-Level-Fusion Strategy." Remote Sensing 10, no. 12 (2018): 1947. http://dx.doi.org/10.3390/rs10121947.

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Aerial images are widely used for building detection. However, the performance of building detection methods based on aerial images alone is typically poorer than that of building detection methods using both LiDAR and image data. To overcome these limitations, we present a framework for detecting and regularizing the boundary of individual buildings using a feature-level-fusion strategy based on features from dense image matching (DIM) point clouds, orthophoto and original aerial images. The proposed framework is divided into three stages. In the first stage, the features from the original ae

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Bastin, P., T. J. Pullen, T. Sherwin, and K. Gull. "Protein transport and flagellum assembly dynamics revealed by analysis of the paralysed trypanosome mutant snl-1." Journal of Cell Science 112, no. 21 (1999): 3769–77. http://dx.doi.org/10.1242/jcs.112.21.3769.

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The paraflagellar rod (PFR) of Trypanosoma brucei is a large, complex, intraflagellar structure that represents an excellent system in which to study flagellum assembly. Molecular ablation of one of its major constituents, the PFRA protein, in the snl-1 mutant causes considerable alteration of the PFR structure, leading to cell paralysis. Mutant trypanosomes sedimented to the bottom of the flask rather than staying in suspension but divided at a rate close to that of wild-type cells. This phenotype was complemented by transformation of snl-1 with a plasmid overexpressing an epitope-tagged copy

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Zhao, Feng, Jun Fang, Da Li, Qingnan Hong, Ruijin You, and Kun Chen. "Clinical Research of Orthopedic Trauma Based on Computer 3D Image Analysis." Computational and Mathematical Methods in Medicine 2021 (December 7, 2021): 1–9. http://dx.doi.org/10.1155/2021/2728388.

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In order to improve the clinical research effect of orthopedic trauma, this paper applies computer 3D image analysis technology to the clinical research of orthopedic trauma and proposes the BOS technology based on FFT phase extraction. The background image in this technique is a “cosine blob” background image. Moreover, this technology uses the FFT phase extraction method to process this background image to extract the image point displacement. The BOS technology based on FFT phase extraction does not need to select a diagnostic window. Finally, this paper combines computer 3D image analysis

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Nevil, Gajera, Chanchad Kishan, and Vora Sneh. "Twitter Sentiment Analysis with Textblob." International Journal of Innovative Science and Research Technology 7, no. 11 (2022): 761–66. https://doi.org/10.5281/zenodo.7392678.

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In the World, many social media sites exist like Twitter, Instagram, Facebook, Snapchat, etc. and data posted by people on these social media sites are increasing quickly that containing audio, video, text, and images. People use this site to share their thoughts and opinion and sometimes share their opinion and thoughts towards any company. For this, we have chosen twitter and applied sentiment analysis. In this paper, we discuss a method of data extraction through API, data cleaning, and use text blob python library for sentiment analysis.

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Ibrahim, Furkan Ince, Socarras-Garzon Manuel, and Yang Tae-Cheon. "Hand Mouse: Real Time Hand Motion Detection System Based on Analysis of Finger Blobs." International Journal of Digital Content Technology and its Applications (JDCTA) 4, no. 2 (2010): 40–56. https://doi.org/10.4156/jdcta.vol4.issue2.5.

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Hand detection is a fundamental step in many practical applications as gesture recognition, video surveillance, and multimodal machine interface and so on. The aim of this paper is to present the methodology for hand detection and propose the hand motion detection method. Skin color is used to segment the hand region from background and hand blob is extracted from the segmented finger blobs. Analysis of finger blobs gives us the location of hand even when hand and head blobs are visible in the same image. In this paper, we propose a fast, computationally inexpensive so

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Tibermacine, Ahmed, and Selmi Mohamed Amine. "AN END-TO-END TRAINABLE CAPSULE NETWORK FOR IMAGE-BASED CHARACTER RECOGNITION AND ITS APPLICATION TO VIDEO SUBTITLE RECOGNITION." ICTACT Journal on Image and Video Processing 11, no. 3 (2021): 2378–84. http://dx.doi.org/10.21917/ijivp.2021.0339.

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The text presented in videos contains important information for a wide range of vision-based applications. The key modules for extracting this information include detection of text followed by its recognition, which are the subject of our study. In this paper, we propose an innovative end-to-end subtitle detection and recognition system for videos. Our system consists of three modules. Video subtitle are firstly detected by a novel image operator based on our blob extraction method. Then, the video subtitle is individually segmented as single characters by simple technique on the binary image

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Song, Young-Chul, and Kil-Houm Park. "Split bregman method-based background extraction for blob-mura defect detection in thin film transistor-liquid crystal display image." Optical Review 18, no. 2 (2011): 253–55. http://dx.doi.org/10.1007/s10043-011-0051-x.

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Ejaz, Khurram, Muhammad Arif, Mohd Shafry Mohd Rahim, Diana Izdrui, Daniela Maria Craciun, and Oana Geman. "Confidence Region Identification and Contour Detection in MRI Image." Computational Intelligence and Neuroscience 2022 (August 8, 2022): 1–13. http://dx.doi.org/10.1155/2022/5898479.

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Tumour region extraction (RE) method identifies the area of interest in MR imaging as it also highlights tumour boundaries. Some other intensities are existing, they are not visible but have their existence in region, and this region is called growing region. Such region is to be tumour region. Due to the variation of intensities in MRI images, tumour visibility becomes uncleared. Tumour intensity variations (tumour tissues) mix with normal brain tissues. In the light of above circumstance, tumour growing region becomes challenge. The goal of work is to extract the region of interest with conf

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BERMEJO-MORENO, IVÁN, and D. I. PULLIN. "On the non-local geometry of turbulence." Journal of Fluid Mechanics 603 (April 30, 2008): 101–35. http://dx.doi.org/10.1017/s002211200800092x.

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A multi-scale methodology for the study of the non-local geometry of eddy structures in turbulence is developed. Starting from a given three-dimensional field, this consists of three main steps: extraction, characterization and classification of structures. The extraction step is done in two stages. First, a multi-scale decomposition based on the curvelet transform is applied to the full three-dimensional field, resulting in a finite set of component three-dimensional fields, one per scale. Second, by iso-contouring each component field at one or more iso-contour levels, a set of closed iso-su

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Razzaq, Abdul, Touqeer Abbas, Sarfraz Hashim, et al. "Extraction of Psychological Effects of COVID-19 Pandemic through Topic-Level Sentiment Dynamics." Complexity 2022 (March 18, 2022): 1–10. http://dx.doi.org/10.1155/2022/9914224.

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The rapid increase in COVID-19 cases has become the symbol of fear, anxiety, and panic among people around the globe. Mass media has played an active role in community education by addressing the health information of this pandemic. People interact by sharing their ideas and feelings through social media platforms. There is a considerable need to implement different measures and better perceive COVID-19 pertinent facts and information by demystifying public sentiments. In this study, the Quarantine Life dataset of thousand tweets is based on #Quarantine, #Quarantine Days, #Quarantine Life, #My

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Mustafah, Yasir Mohd, A. W. Azman, and M. H. Ani. "Object Distance and Size Measurement Using Stereo Vision System." Advanced Materials Research 622-623 (December 2012): 1373–77. http://dx.doi.org/10.4028/www.scientific.net/amr.622-623.1373.

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Object size identification is very useful in building systems or applications especially in autonomous system navigation. Many recent works have started to use multiple vision sensors or cameras for different type of application such as 3D image constructions, occlusion detection and etc. Multiple cameras system has becoming more popular since cameras are now very cheap and easy to deploy and utilize. The proposed measurement system consists of object detection on the stereo images and blob extraction and distance and size calculation and object identification. The system also employs a fast a

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Khawaja Tehseen Ahmed, Nida Shahid, Syed Burhan ud Din Tahir, Aiza Shabir, Muhammad Yasir Khan, and Muzaffar Hameed. "Signature Elevation Using Parametric Fusion for Large Convolutional Network for Image Extraction." VFAST Transactions on Software Engineering 12, no. 2 (2024): 174–91. http://dx.doi.org/10.21015/vtse.v12i2.1810.

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The image acquisition process involves finding regions of interest and defining feature vectors as visual features of the image. This encompasses local and global delineations for specific areas of interest, enabling the classification of images through the extraction of high-level and low-level information. The proposed approach computes the Harris determinants and Hessian matrix after converting the input image to grayscale. Blob structuring is then performed to identify potential regions of interest that can adequately describe texture, color, and shape at different representation levels an

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Ajayi, Oluibukun Gbenga, Ifeanyi Jonathan Nwadialor, Ifeanyi Chukwudi Onuigbo, and Olurotimi Adebowale Kemiki. "PRELIMINARY INVESTIGATION OF THE ROBUSTNESS OF MAXIMALLY STABLE EXTREMAL REGIONS (MSER) MODEL FOR THE AUTOMATIC REGISTRATION OF OVERLAPPING IMAGES." Geoplanning: Journal of Geomatics and Planning 5, no. 1 (2018): 63. http://dx.doi.org/10.14710/geoplanning.5.1.63-74.

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Various researchers in Digital Image processing have developed keen interest in the automation of object detection, description and extraction process used for various applications and this has led to the development of series of Feature detection and extraction models one of which is the Maximally Stable Extremal Regions Feature Algorithm (MSER). This paper investigates the robustness of MSER algorithm (a blob-like and affine-invariant feature detector) for the detection and extraction of corresponding features used for the automatic registration of series of overlapping images. The robustnes

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Zhao, Bingqing, Tingfa Xu, Yiwen Chen, Tianhao Li, and Xueyuan Sun. "Automatic and Robust Infrared-Visible Image Sequence Registration via Spatio-Temporal Association." Sensors 19, no. 5 (2019): 997. http://dx.doi.org/10.3390/s19050997.

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To solve the problems of the large differences in gray value and inaccurate positioning of feature information during infrared-visible image registration, we propose an automatic and robust algorithm for registering planar infrared-visible image sequences through spatio-temporal association. In particular, we first create motion vector distribution descriptors which represent the temporal motion information of foreground contours in adjacent frames to complete coarse registration without feature extraction. Then, for precise registration, we extracted FAST corners of the foreground, which are

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Simbolon, Sedia, Juju Jumadi, K. Khairil, et al. "Image Segmentation using Color Value of the Hue in CT Scan Result." Journal of Physics: Conference Series 2394, no. 1 (2022): 012017. http://dx.doi.org/10.1088/1742-6596/2394/1/012017.

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Abstract Object recognition with visual computer techniques is a process necessary to detect different objects in a three-dimensional image to get precise results. Color extraction process Red Green Blue (RGB), Red, Green, Blue (HSV) and other color spaces can produce high accuracy and minimize the number of parameters to speed the computing process. In this study the diagnosis of pneumonia was based on a CT scan of the lungs in the color image segmentation process. The removal of color features is done by using the HSV color segmentation method to classify the pneumonia in CT scans, which mak

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Kailasam, S. Piramu, E. Siva Sankari, and R. Kumuthini. "ROC CURVE ANALYSIS OF DIFFERENT HYBRID FEATURE DESCRIPTORS USING MULTI CLASSIFIERS." ASEAN Engineering Journal 13, no. 2 (2023): 53–60. http://dx.doi.org/10.11113/aej.v13.18804.

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Tremendous success of machine learning algorithms at pattern recognition creates interest in new inventions. Machine learning in an era of big data is that significant hierarchical relationships within the data can be discovered algorithmically than other handcraft like features. In this study, Convolutional Neural Network (CNN) is used as feature descriptors in pulmonary malignancy prediction. Various feature descriptors such as Histogram of Oriented Gradient (HOG), Extended Histogram of Oriented Gradient (EXHOG) and Linear Binary Pattern (LBP) descriptors are analyzed with classifiers such a

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Peer, Peter, and Luis Galo Corzo. "Local Pixel Value Collection Algorithm for Spot Segmentation in Two-Dimensional Gel Electrophoresis Research." Comparative and Functional Genomics 2007 (2007): 1–9. http://dx.doi.org/10.1155/2007/89596.

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Two-dimensional gel-electrophoresis (2-DE) images show the expression levels of several hundreds of proteins where each protein is represented as a blob-shaped spot of grey level values. The spot detection, that is, the segmentation process has to be efficient as it is the first step in the gel processing. Such extraction of information is a very complex task. In this paper, we propose a novel spot detector that is basically a morphology-based method with the use of a seeded region growing as a central paradigm and which relies on the spot correlation information. The method is tested on our s

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Gong, Shangfu, Fengzhi Xu, and Pengtao Jia. "Video Target Detection In Underground Mine Based On Background Difference And Edge Detection." MATEC Web of Conferences 232 (2018): 02023. http://dx.doi.org/10.1051/matecconf/201823202023.

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In view of the complex environment in the underground mine, the detection of moving targets in surveillance video often had the problems of low detection efficiency and the detection result was greatly affected by noise and shadows. A target extraction method based on fusion background subtraction, inter-frame difference and edge detection was proposed. Firstly, the method used the hybrid gaussian background modeling (GMM) to obtain the accurate background image of the dynamic environment, and the extracted moving targets by using background subtractiont. Then based on the three-frame differen

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Hadeel, N. Abdullah, and H. Abdulghafoor Nuha. "Objects detection and tracking using fast principle component purist and kalman filter." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 2 (2020): 1317–26. https://doi.org/10.11591/ijece.v10i2.pp1317-1326.

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The detection and tracking of moving objects attracted a lot of concern because of the vast computer vision applications. This paper proposes a new algorithm based on several methods for identifying, detecting, and tracking an object in order to develop an effective and efficient system in several applications. This algorithm has three main parts: the first part for background modeling and foreground extraction, the second part for smoothing, filtering and detecting moving objects within the video frame and the last part includes tracking and prediction of detected objects. In this proposed wo

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Fauziyyah, Anni Karimatul. "ANALISIS SENTIMEN PANDEMI COVID19 PADA STREAMING TWITTER DENGAN TEXT MINING PYTHON." Jurnal Ilmiah SINUS 18, no. 2 (2020): 31. http://dx.doi.org/10.30646/sinus.v18i2.491.

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The impact of the novel coronavirus (COVID-19) is widespread and will likely shape community behavior for months to come. And while the humanitarian and safety-related aspects of this outbreak are top of mind globally, it’s unquestionable that social distancing, quarantining, and staying home will have a significant effect on media consumption, which could rise up to 60%, according to recent research from Nielsen’s U.S. media team. Social media, now a part of everyday life for most consumers engaged with the world digitally, became the primary source for buzz about all things COVID-19 as worri

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Chaussonnet, G., T. Dauch, M. Keller, et al. "Progress in the Smoothed Particle Hydrodynamics Method to Simulate and Post-process Numerical Simulations of Annular Airblast Atomizers." Flow, Turbulence and Combustion 105, no. 4 (2020): 1119–47. http://dx.doi.org/10.1007/s10494-020-00174-6.

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AbstractThis paper illustrates recent progresses in the development of the smoothed particle hydrodynamics (SPH) method to simulate and post-process liquid spray generation. The simulation of a generic annular airblast atomizer is presented, in which a liquid sheet is fragmented by two concentric counter swirling air streams. The accent is put on how the SPH method can bridge the gap between the CAD geometry of a nozzle and its characterization, in terms of spray characteristics and dynamics. In addition, the Lagrangian nature of the SPH method allows to extract additional data to give further

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Yuan, Jing, Yin Xia Liu, and Shu Hua Shao. "Coal Transport Tape Control System Based on Machine Vision." Applied Mechanics and Materials 419 (October 2013): 745–50. http://dx.doi.org/10.4028/www.scientific.net/amm.419.745.

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Coal transport security is one of the important links of mining safety in production chain. Most of Mines use long distance wire rope core belt conveyor transporting coal. By the reason of the load increases, the belt surface scratches and aging etc when the transmission belt in the long run, will cause the wire rope core corrosion, fracture, joint elongation, wire rope core and transmission belt adhesion decreased and finally the joint tensile fault. Once a fault occurs, the transmission security not only endangers mine, even causes the entire production system halted, so the security warning

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Aryal, Ranjan Raj, and Ankit Bhattarai. "Sentiment Analysis on Covid-19 Vaccination Tweets using Naïve Bayes and LSTM." Advances in Engineering and Technology: An International Journal 1, no. 1 (2021): 57–70. http://dx.doi.org/10.3126/aet.v1i1.39660.

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Social media is one platform where people share their opinions and views on different topics, services, or behaviors that happen around them. Since the COVID19 pandemic that started at the end of 2019, it has been a topic on which people express their sentiments. Recently, the COVID19 vaccination programs have got a lot of responses. In this paper, we have proposed two models: one based on the machine learning approach: Naive Bayes & the other based on deep learning: LSTM, whose goal is to know the sentiment of Asian region tweets towards the vaccine through sentiment analysis. The data we

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A.K. Noaman, Redwan, Mohd Alauddin Mohd Ali, Nasharuddin Zainal, and Faisal Saeed. "Human Detection Framework for Automated Surveillance Systems." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 2 (2016): 877. http://dx.doi.org/10.11591/ijece.v6i2.9578.

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Vision-based systems for surveillance applications have been used widely and gained more research attention. Detecting people in an image stream is challenging because of their intra-class variability, the diversity of the backgrounds, and the conditions under which the images were acquired. Existing human detection solutions suffer in their effectiveness and efficiency. In particular, the accuracy of the existing detectors is characterized by their high false positive and negative. In addition, existing detectors are slow for online surveillance systems which lead to large delay that is not s

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A.K. Noaman, Redwan, Mohd Alauddin Mohd Ali, Nasharuddin Zainal, and Faisal Saeed. "Human Detection Framework for Automated Surveillance Systems." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 2 (2016): 877. http://dx.doi.org/10.11591/ijece.v6i2.pp877-886.

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Vision-based systems for surveillance applications have been used widely and gained more research attention. Detecting people in an image stream is challenging because of their intra-class variability, the diversity of the backgrounds, and the conditions under which the images were acquired. Existing human detection solutions suffer in their effectiveness and efficiency. In particular, the accuracy of the existing detectors is characterized by their high false positive and negative. In addition, existing detectors are slow for online surveillance systems which lead to large delay that is not s

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Wang, Zichen, and Avi Ma'ayan. "An open RNA-Seq data analysis pipeline tutorial with an example of reprocessing data from a recent Zika virus study." F1000Research 5 (July 5, 2016): 1574. http://dx.doi.org/10.12688/f1000research.9110.1.

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RNA-seq analysis is becoming a standard method for global gene expression profiling. However, open and standard pipelines to perform RNA-seq analysis by non-experts remain challenging due to the large size of the raw data files and the hardware requirements for running the alignment step. Here we introduce a reproducible open source RNA-seq pipeline delivered as an IPython notebook and a Docker image. The pipeline uses state-of-the-art tools and can run on various platforms with minimal configuration overhead. The pipeline enables the extraction of knowledge from typical RNA-seq studies by gen

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Yaseen, Gui-Young Son, and Soonil Kwon. "Classification of Heart Sound Signal Using Multiple Features." Applied Sciences 8, no. 12 (2018): 2344. http://dx.doi.org/10.3390/app8122344.

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Cardiac disorders are critical and must be diagnosed in the early stage using routine auscultation examination with high precision. Cardiac auscultation is a technique to analyze and listen to heart sound using electronic stethoscope, an electronic stethoscope is a device which provides the digital recording of the heart sound called phonocardiogram (PCG). This PCG signal carries useful information about the functionality and status of the heart and hence several signal processing and machine learning technique can be applied to study and diagnose heart disorders. Based on PCG signal, the hear

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Chen, Zhiyu. "Dataset Search and Augmentation." ACM SIGIR Forum 56, no. 1 (2022): 1–2. http://dx.doi.org/10.1145/3582524.3582544.

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Data has become an indispensable part of our life. However, current mainstream commercial search engines do not support specialized functions for dataset search. A dataset usually consists of both metadata and data content. Existing information retrieval models designed for Web search cannot efficiently extract semantic information inside structured datasets, even when they contain textual content. Developing new algorithms for next-generation search engines to efficiently find datasets can benefit data practitioners in their data discovery experience. In this dissertation, we consider how to

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Christopher-Hennings, Jane, Matthew A. Dammen, Shelleen R. Weeks, et al. "Comparison of Two DNA Extractions and Nested PCR, Real-Time PCR, a New Commercial PCR Assay, and Bacterial Culture for Detection of Mycobacterium Avium Subsp. Paratuberculosis in Bovine Feces." Journal of Veterinary Diagnostic Investigation 15, no. 2 (2003): 87–93. http://dx.doi.org/10.1177/104063870301500201.

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In this study, 5 combinations of 2 DNA extractions and 3 polymerase chain reaction (PCR) techniques were compared with culture for the detection of Mycobacterium paratuberculosis directly from bovine feces. These combinations included a new commercial extraction technique combined with a commercial PCR/Southern blot technique, nested PCR (nPCR), or real-time PCR, and a university-developed extraction combined with nPCR or real-time PCR. Four of the 5 combinations had statistically similar sensitivities between 93% and 100% and specificity between 95% and 100%, when compared with culture result

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Umarani, V., M. Dimpusowjanya, Dodla Poojitha, and Gurijala Sai Sriya. "Application access for chromatic color detection." Journal of Physics: Conference Series 2484, no. 1 (2023): 012049. http://dx.doi.org/10.1088/1742-6596/2484/1/012049.

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Abstract The process of identifying specific examples of an item inside an image or video is referred to as “object detection,” and it is one of the computer vision techniques. When individuals look at pictures or movies, they are able to recognize and find things that are of interest to them. The primary goal of the field of object recognition is to achieve this level of intelligence via the use of a computer. Image segmentation and blob analysis, which uses simple object properties such as size, shape, or color, and Feature-based object detection, which uses feature extraction, matching, and

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Bucher, P. J. M. "Small-Incision Lens Extraction by en-bloc Extracortical Nucleus Extraction." European Journal of Implant and Refractive Surgery 1, no. 1 (1989): 23–26. http://dx.doi.org/10.1016/s0955-3681(89)80030-9.

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Esnault, Olivier. "Distraction sagittale du bloc incisivo-canin mandibulaire." L'Orthodontie Française 86, no. 1 (2015): 83–93. http://dx.doi.org/10.1051/orthodfr/2015011.

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L’apport des ostéotomies segmentaires dans les protocoles ortho-chirurgicaux n’est plus à démontrer et retrouve une nouvelle jeunesse grâce à la combinaison avec les techniques de distraction osseuse. L’ostéotomie de Köle, décrite initialement pour fermer des infraclusies antérieures, puis utilisée pour niveler des courbes de Spee très marquées a plus récemment été utilisée pour corriger des encombrements antérieurs. Cette prise en charge s’adresse à des patients porteurs d’une classe II incisive et canine, mais en classe I molaire avec un encombrement mandibulaire isolé. On peut ainsi, au pri

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Young, Peter. "Recursive and en-bloc approaches to signal extraction." Journal of Applied Statistics 26, no. 1 (1999): 103–28. http://dx.doi.org/10.1080/02664769922692.

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Yoon, Seok-Ho, Jung-Hwan Shin, Sang-Wook Kim, Sunju Park, and Jae Bum Lee. "Subject-based extraction of a latent blog community." Information Sciences 184, no. 1 (2012): 215–29. http://dx.doi.org/10.1016/j.ins.2011.08.004.

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Schieber, Andreas, and Andreas Hilbert. "Process Model for Content Extraction from Weblogs." International Journal of Intelligent Information Technologies 10, no. 2 (2014): 20–36. http://dx.doi.org/10.4018/ijiit.2014040102.

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This paper develops and evaluates a BPMN-based process model which identifies and extracts blog content from the web and stores its textual data in a data warehouse for further analyses. Depending on the characteristics of the technologies used to create the weblogs, the process has to perform specific tasks in order to extract blog content correctly. The paper describes three phases: extraction, transformation and loading of data in a repository specifically adapted for blog content extraction. It highlights the objectives in these phases which must be achieved to ensure the correct extractio

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UCHIDA, Yuzu, Kenji ARAKI, and Jun YONEYAMA. "A Method of Onomatopoeia Sentences Extraction from Blog Entries." Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 24, no. 3 (2012): 811–20. http://dx.doi.org/10.3156/jsoft.24.811.

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Jiang, T., and M. B. Merickel. "Identification and boundary extraction of blobs in complex imagery." Computerized Medical Imaging and Graphics 13, no. 5 (1989): 369–82. http://dx.doi.org/10.1016/0895-6111(89)90224-3.

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CAO, Dong-Lin, Xiang-Wen LIAO, Hong-Bo XU, and Shuo BAI. "Extraction Model Based on Web Format Information Quantity in Blog Post and Comment Extraction." Journal of Software 20, no. 5 (2010): 1282–91. http://dx.doi.org/10.3724/sp.j.1001.2009.03283.

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