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Relevant bibliographies by topics / Blob Extraction

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Academic literature on the topic 'Blob Extraction'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Blob Extraction"

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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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Dissertations / Theses on the topic "Blob Extraction"

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Raffoul, Joseph Naim. "Blob Feature Extraction for Event Detection Cameras." University of Dayton / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1590165017029087.

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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,

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Raghavan, Preethi. "Extracting Opinions from Blog Comments: Analysis, Design and Applications." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1259756172.

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Abrahám, Jan. "Parní turbína pro biomasový blok." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2020. http://www.nusl.cz/ntk/nusl-417526.

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Diploma thesis deals with the design of a condensing steam turbine with one controlled steam extraction. Its working range is 0 to 10 t/h. The first part contains the design of the heat balance scheme. The turbine has two unregulated steam extractions for low-pressure feedwater heater and outlet steam is cooled by water condenser. The main part is the design of the turbine flow channel with one regulative stage using impulse blading and 26 regular stages using reaction blading. The turbine rotating speed is 8500 rpm, which is strength suitable even in critical points. The following chapters ar

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Ben, slimen Yosra. "Knowledge extraction from huge volume of heterogeneous data for an automated radio network management." Thesis, Lyon, 2018. http://www.theses.fr/2018LYSE2046.

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En vue d’aider les opérateurs mobiles avec la gestion de leurs réseaux d’accès radio, trois modèles sont proposés. Le premier modèle est une approche supervisée pour une prévention des anomalies. Son objectif est de détecter les dysfonctionnements futurs d’un ensemble de cellules en observant les indicateurs clés de performance considérés comme des données fonctionnelles. Par conséquent, en alertant les ingénieurs et les réseaux auto-organisés, les opérateurs mobiles peuvent être sauvés d’une dégradation de performance de leurs réseaux. Le modèle a prouvé son efficacité avec une application su

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Kaddour-Djebbar, Mohamed. "Extraction par pervaporation d'esters de solutions aqueuses à l'aide de films denses en polyéther-bloc-amide : influence de la composition du copolymère sur les propriétés de transport." Vandoeuvre-les-Nancy, INPL, 1996. http://www.theses.fr/1996INPL052N.

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Le but du présent travail est d'étudier l'extraction par pervaporation de composés organiques valorisables de solutions aqueuses à l'aide de membranes hydrophobes. Une série d'esters éthyliques (acétate, propionate et butyrate d'éthyle) a été étudiée en sorption, diffusion et pervaporation à travers des membranes en polydiméthylsiloxane (PDMS) et en polyéther bloc amide de composition variable, l'amplitude de sorption des esters purs présente un maximum pour le propionate d'éthyle dans toutes les membranes en PEBA, tandis qu'elle croit avec la longueur de l'ester pour la membrane en PDMS. Un t

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Chetouani, Aladine. "Vers un système d'évaluation de la qualité d'image multi-critères." Phd thesis, Université Paris-Nord - Paris XIII, 2010. http://tel.archives-ouvertes.fr/tel-00560808.

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L'évaluation de la qualité d'image est un élément critique dans de nombreuses applications multimédias et en particulier lorsque l'observateur est le juge ultime. En général, le contrôle de la qualité des systèmes d'acquisitions de données est réalisé à partir de l'évaluation de la qualité d'image subjective. Cependant, les méthodes d'évaluation psycho-visuelle sont complexes, non reproductibles et dépendent de nombreux facteurs. Ces contraintes ont conduit alors à l'élaboration de nouvelles approches objectives basées sur des techniques d'analyse du signal image. Ainsi,

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"Small Blob Detection in Medical Images." Doctoral diss., 2015. http://hdl.handle.net/2286/R.I.29907.

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abstract: Recent advances in medical imaging technology have greatly enhanced imaging based diagnosis which requires computational effective and accurate algorithms to process the images (e.g., measure the objects) for quantitative assessment. In this dissertation, one type of imaging objects is of interest: small blobs. Example small blob objects are cells in histopathology images, small breast lesions in ultrasound images, glomeruli in kidney MR images etc. This problem is particularly challenging because the small blobs often have inhomogeneous intensity distribution and indistinct boundary

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Chen, Jhih-ming, and 陳志銘. "Automatic Extraction of Blog Post from Diverse Blog Pages." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/31678124319745134405.

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碩士<br>國立中央大學<br>資訊工程研究所<br>99<br>With the rapid development of the blogosphere, blog post extraction is an essential task for researches on blogosphere. However, very little attention has been given specifically to blog post extraction. In this paper, we address the issue of extracting blog posts from diverse blog pages, which aims at automatically and precisely finding the location of each blog post. Most of previous researches focused on extracting main content from news pages, but the problem becomes more complex when one turns to blog pages, since some blog posts may employ a variety of co

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Yang, Ping-hua, and 楊萍華. "Blog Post Extraction and Irrelevant Blog Filtering for Opinion Search Engine." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/hy64y8.

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碩士<br>國立中央大學<br>資訊工程研究所<br>97<br>Blogosphere are consisted of blog is a social network, and blogs which are the most popular in the top websites are increased by years. Blog pages are consisted of variety of topics and posted content is not only included objective opinions but also subjective opinions. In past users could get information by TV, magazine or search engine when they need to know some specific problem, but in those ways not only consume more time cost but also get limited information usually. For these reasons, in this paper we provide an opinion search engine on blogsphere which

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Book chapters on the topic "Blob Extraction"

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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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Kumar, Praveen, Kannappan Palaniappan, Ankush Mittal, and Guna Seetharaman. "Parallel Blob Extraction Using the Multi-core Cell Processor." In Advanced Concepts for Intelligent Vision Systems. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04697-1_30.

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Ince, Ibrahim Furkan, and Tae-Cheon Yang. "A New Low-Cost Eye Tracking and Blink Detection Approach: Extracting Eye Features with Blob Extraction." In Emerging Intelligent Computing Technology and Applications. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04070-2_58.

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Arunachalam, Karuppusamy, and Sreeja Puthanpura Sasidharan. "Protein Extraction and Western Blot Analysis." In Springer Protocols Handbooks. Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-1233-0_22.

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Wang, Xishan, Zhaoxu Zheng, and Haipeng Chen. "Laparoscopic Extended Lower Rectal Cancer Resection with En Bloc Lateral Lymph Node Dissection (Wang’s Approach)." In Natural Orifice Specimen Extraction Surgery. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-2750-0_48.

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Wang, Xishan, Zhaoxu Zheng, and Haipeng Chen. "Laparoscopic Extended Lower Rectal Cancer Resection with En Bloc Lateral Lymph Node Dissection (Wang’s Approach)." In Natural Orifice Specimen Extraction Surgery. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-7925-7_33.

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Zhang, Shunxiang, and Pengfei Ji. "Knowledge Extracting from Micro-Blog Topic." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98776-7_23.

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Shivakumar, G., M. Ravikumar, B. J. Shivaprasad, and D. S. Guru. "Signature Extraction from Bilingual Document Images Using Blobs Method." In Studies in Computational Intelligence. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96634-8_26.

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Zheng, Hao, YaJun Du, SiDa Wang, ChenXing Li, and JianBo Yang. "A Novel Entity Relation Extraction Approach Based on Micro-Blog." In Intelligent Computing Methodologies. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-42297-8_38.

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Batelli, Giorgia, Giorgio Gambino, Erica Mica, Andrea Schubert, and Andrea Carra. "Small RNA ExtractionSmall RNA Extraction and Expression Analysis by Northern BlotNorthern Blot." In Methodologies and Results in Grapevine Research. Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-9283-0_24.

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Conference papers on the topic "Blob Extraction"

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Murphy, Erin, Alexander Rasin, Jacob Furst, Daniela Raicu, and Roselyne Tchoua. "Ensemble Labeling towards Scientific Information Extraction (ELSIE)—Blob Extraction." In 2021 IEEE 17th International Conference on eScience (eScience). IEEE, 2021. http://dx.doi.org/10.1109/escience51609.2021.00011.

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Dung Duc Nguyen, Thien Cong Pham, Xuan Dai Pham, Seung Hun Jin, and Jae Wook Jeon. "Finger extraction from scene with grayscale morphology and BLOB analysis." In 2008 IEEE International Conference on Robotics and Biomimetics. IEEE, 2009. http://dx.doi.org/10.1109/robio.2009.4913024.

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Razlighi, Q. R., and Y. Stern. "Blob-like feature extraction and matching for brain MR images." In 2011 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2011. http://dx.doi.org/10.1109/iembs.2011.6091922.

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Yoon, Youngwoo, Kyu-Dae Ban, Hosub Yoon, and Jaehong Kim. "Blob extraction based character segmentation method for automatic license plate recognition system." In 2011 IEEE International Conference on Systems, Man and Cybernetics - SMC. IEEE, 2011. http://dx.doi.org/10.1109/icsmc.2011.6084002.

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Hand, Rebecca, Ian Cleland, and Chris Nugent. "A Comparison of Feature Extraction Methods Applied to Thermal Sensor Binary Image Data to Classify Bed Occupancy." In 24th Irish Machine Vision and Image Processing Conference. Irish Pattern Recognition and Classification Society, 2022. http://dx.doi.org/10.56541/qlzv1440.

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Low-resolution thermal sensing technology is suitable for sleep monitoring due to being light invariant and privacy preserving. Feature extraction is a critical step in facilitating robust detection and tracking, therefore this paper compares a blob analysis approach of extracting statistical features to several common feature descriptor algorithm approaches (SURF and KAZE). The features are extracted from thermal binary image data for the purpose of detecting bed occupancy. Four common machine learning models (SVM, KNN, DT and NB) were trained and evaluated using a leave-one-subject-out valid

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Pyo, Jihyeong, Jaemin Cho, Sangseung Kang, and Kyekyung Kim. "Precise pose estimation using landmark feature extraction and blob analysis for bin picking." In 2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI). IEEE, 2017. http://dx.doi.org/10.1109/urai.2017.7992786.

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Hong, Kang, Lihua Yuan, and Zhe Li. "Development of MATLAB GUI based on blob analysis for automatic extraction of defects." In International Conference on Electronic Information Engineering and Computer Communication (EIECC 2021), edited by Zhiyuan Zhu and Fengxin Cen. SPIE, 2022. http://dx.doi.org/10.1117/12.2634399.

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Jetensky, Pavel. "Human hand image analysis extracting finger coordinates and axial vectors: Finger axis detection using blob extraction and line fitting." In 2014 24th International Conference Radioelektronika (RADIOELEKTRONIKA). IEEE, 2014. http://dx.doi.org/10.1109/radioelek.2014.6828474.

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Richards, Whitman, and Hugh R. Wilson. "Comparison between computer and biological algorithms for extracting curvature." In OSA Annual Meeting. Optica Publishing Group, 1987. http://dx.doi.org/10.1364/oam.1987.mh2.

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Most machine vision systems compute curvature in three steps: (1) blob or contour extraction; (2) tangent computation along an edge list; and (3) tangent differentiation to obtain curvature. Such a procedure requires choosing the spatial scale for these different operators (blob, tangent, and curvature). Customarily, a range of 2-D masks and 1-D curvature operators is used to capture as much information as possible. In contrast, our recent psychophysical data suggest that the human visual system computes curvature using only one spatial scale, namely, the finest, except when pressed to perform

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Cheng, Chi-Cheng, and Yi-Fan Wu. "A Pedestrian Counting Scheme for Video Images." In 3rd International Conference on Artificial Intelligence and Machine Learning (CAIML 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.121211.

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Pedestrian counting aims to compute the numbers of pedestrians entering and leaving an area of interest based on object detection and tracking techniques. This paper proposes a simple and effective approach of pedestrian counting that can effectively solve the problem of pedestrian occlusion.Firstly, the moving objects are detected by the median filtering and foreground extraction with the improved mixed Gaussian model. And then the HOG (Histogram of oriented gradient) features detection and the SVM (Support vector machine) classification are applied to identify the pedestrians. A pedestrian d

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