Relevant bibliographies by topics / Local adaptive threshold

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Local adaptive threshold'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Local adaptive threshold"

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Hatta, Moch., and I. Gde Susrama. "COUNTING SPERMA AKTIF MENGGUNAKAN METODE OTSU THRESHOLD DAN LOCAL ADAPTIVE THRESHOLD." Teknika : Engineering and Sains Journal 1, no. 1 (2017): 47–54. https://doi.org/10.5281/zenodo.1067713.

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Analisis sperma adalah pemeriksaan awal yang dilakukan pada kasus <em>infertilitas</em> pria, salah satunya adalah menentukan <em>motiliti</em> normal dan abnormal, yang dilakukan oleh ahli. Analisa sperma ini juga dapat dilakukan secara otomatis dengan berbantuan komputer, yaitu dengan cara mengambil per-<em>frame</em> video sperma kemudian dilakukan proses segmentasi. Pada proses segmentasi terdapat beberapa kendala antara lain data video yang diambil mempunyai intensitas yang berbeda, sehingga diperlukan beberapa metode segmentasi. Penelitian ini adalah membandingkan proses <em>Otsu Thresho
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Hatta, Moch, and I. Gde Susrama. "COUNTING SPERMA AKTIF MENGGUNAKAN METODE OTSU THRESHOLD DAN LOCAL ADAPTIVE THRESHOLD." Teknika: Engineering and Sains Journal 1, no. 1 (2017): 47. http://dx.doi.org/10.51804/tesj.v1i1.68.47-54.

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Analisis sperma adalah pemeriksaan awal yang dilakukan pada kasus infertilitas pria, salah satunya adalah menentukan motiliti normal dan abnormal, yang dilakukan oleh ahli. Analisa sperma ini juga dapat dilakukan secara otomatis dengan berbantuan komputer, yaitu dengan cara mengambil per-frame video sperma kemudian dilakukan proses segmentasi. Pada proses segmentasi terdapat beberapa kendala antara lain data video yang diambil mempunyai intensitas yang berbeda, sehingga diperlukan beberapa metode segmentasi. Penelitian ini adalah membandingkan proses Otsu Threshold dan proses Local Adaptive Th
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Hua, Man, Yan Ling Li, and Rui Chun Lin. "An Adaptive Moving Objects Detection Algorithm Based on Kernel Density Estimation." Applied Mechanics and Materials 475-476 (December 2013): 983–86. http://dx.doi.org/10.4028/www.scientific.net/amm.475-476.983.

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The detection of moving objects are important research area for video surveillance and other video processing applications. In this paper, we propose an adaptive approach modeling background and segmenting moving object with non-parametric kernel density estimation. Unlike previous approaches to object detection which detect objects by global threshold, we use a local threshold to reflect temporal persistence. With combined of global threshold and local thresholds, the proposed approach can handle scenes containing gradual illumination variations and noise and has no bootstrapping limitations.
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Bao, Q. Z., J. H. Gao, and W. C. Chen. "Local adaptive shrinkage threshold denoising using curvelet coefficients." Electronics Letters 44, no. 4 (2008): 277. http://dx.doi.org/10.1049/el:20082831.

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WANG, Yin, Zheng JIANG, and Bin LIU. "SIFT fast image matching algorithm with local adaptive threshold." Chinese Journal of Liquid Crystals and Displays 39, no. 2 (2024): 228–36. http://dx.doi.org/10.37188/cjlcd.2023-0085.

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Hua, Man, Yanling Li, and Yinhui Luo. "Robust Background Modeling with Kernel Density Estimation." International Journal of Online Engineering (iJOE) 11, no. 8 (2015): 13. http://dx.doi.org/10.3991/ijoe.v11i8.4880.

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Modeling background and segmenting moving objects are significant techniques for video surveillance and other video processing applications. In this paper, we proposed a novel adaptive approach modeling background and segmenting moving object with non-parametric kernel density estimation. Unlike previous approaches to object detection which detect objects by global threshold, we use a local threshold to reflect temporal persistence. With combined of global threshold and local thresholds, the proposed approach can handle scenes containing gradual illumination variations and noise and has no boo
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Damjanović, Sanja, Ferdinand van der Heijden, and Luuk J. Spreeuwers. "Local Stereo Matching Using Adaptive Local Segmentation." ISRN Machine Vision 2012 (August 23, 2012): 1–11. http://dx.doi.org/10.5402/2012/163285.

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We propose a new dense local stereo matching framework for gray-level images based on an adaptive local segmentation using a dynamic threshold. We define a new validity domain of the frontoparallel assumption based on the local intensity variations in the 4 neighborhoods of the matching pixel. The preprocessing step smoothes low-textured areas and sharpens texture edges, whereas the postprocessing step detects and recovers occluded and unreliable disparities. The algorithm achieves high stereo reconstruction quality in regions with uniform intensities as well as in textured regions. The algori
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CALZADA-NAVARRETE, V., and C. TORRES-HUITZIL. "A LOCAL ADAPTIVE THRESHOLD APPROACH TO ASSIST AUTOMATIC CHROMOSOME IMAGE SEGMENTATION." Latin American Applied Research - An international journal 44, no. 3 (2014): 277–82. http://dx.doi.org/10.52292/j.laar.2014.452.

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In cytogenetics, karyotype analysis is used to assess the presence of genetic defects by visualization chromosomes structure from microscopic images. A key step in this process is image thresholding, used to detect and extract objects of interest from background, as it affects the performance of further processing steps in image analysis. In this paper, an adaptive local thresholding for Qband chromosome image segmentation is presented. A re-threshold process based on the Sauvola’s local adaptive technique is applied to extract chromosomes from background. Local adaptive histogram equalization
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Liu, Dan, Dajun Li, Meizhen Wang, and Zhiming Wang. "3D Change Detection Using Adaptive Thresholds Based on Local Point Cloud Density." ISPRS International Journal of Geo-Information 10, no. 3 (2021): 127. http://dx.doi.org/10.3390/ijgi10030127.

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In recent years, because of highly developed LiDAR (Light Detection and Ranging) technologies, there has been increasing demand for 3D change detection in urban monitoring, urban model updating, and disaster assessment. In order to improve the effectiveness of 3D change detection based on point clouds, an approach for 3D change detection using point-based comparison is presented in this paper. To avoid density variation in point clouds, adaptive thresholds are calculated through the k-neighboring average distance and the local point cloud density. A series of experiments for quantitative evalu
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Muhammad Asif, Rao, Mustafa Shakir, Jamel Nebhen, Ateeq Ur Rehman, Muhammad Shafiq, and Jin-Ghoo Choi. "Defocus Blur Segmentation Using Local Binary Patterns with Adaptive Threshold." Computers, Materials & Continua 71, no. 1 (2022): 1597–611. http://dx.doi.org/10.32604/cmc.2022.022219.

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Dissertations / Theses on the topic "Local adaptive threshold"

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Oscanoa1, Julio, Marcelo Mena, and Guillermo Kemper. "A Detection Method of Ectocervical Cell Nuclei for Pap test Images, Based on Adaptive Thresholds and Local Derivatives." Science and Engineering Research Support Society, 2015. http://hdl.handle.net/10757/624843.

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Cervical cancer is one of the main causes of death by disease worldwide. In Peru, it holds the first place in frequency and represents 8% of deaths caused by sickness. To detect the disease in the early stages, one of the most used screening tests is the cervix Papanicolaou test. Currently, digital images are increasingly being used to improve Pap test efficiency. This work develops an algorithm based on adaptive thresholds, which will be used in Pap smear assisted quality control software. The first stage of the method is a pre-processing step, in which noise and background removal is done. N
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Huang, Shih-Chan, and 黃士展. "Adaptive Threshold Clustering and Semi-Global Matching for Reliable Local Disparity Candidate Generation." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/80218674429029265542.

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碩士<br>國立臺灣大學<br>資訊工程學研究所<br>103<br>We propose an algorithm that can provide disparity candidates of each pixel in the given input images in stereo matching problems. Most of the stereo matching algorithm can be separated in 2 parts: initial planes generation and optimization. We add some ideas trying to improve the former, and especially, we put emphasis on local plane generation. Our method estimates the planes from sparse feature matches, and we propose a strategy in collecting adjacent features with adaptive error threshold for plane fitting. The parameters of each plane is re-estimated whe
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Shi, Jichuan. "Adaptive local threshold with shape information and its application to oil sand image segmentation." Master's thesis, 2010. http://hdl.handle.net/10048/893.

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Thesis (M.Sc.)--University of Alberta, 2010.<br>Title from PDF file main screen (viewed on Apr. 30, 2010). A thesis submitted to the Faculty of Graduate Studies and Research in partial fulfillment of the requirements for the degree of Master of Science, Department of Computing Science, University of Alberta. Includes bibliographical references.
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Book chapters on the topic "Local adaptive threshold"

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Wang, Shaoshao, Aihua Zhang, and Han Wang. "A Feature Extraction Algorithm for Enhancing Graphical Local Adaptive Threshold." In Intelligent Computing Theories and Application. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-13870-6_23.

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Xiyu, Liu, Yao Xiaolan, and Chen Xin. "An Adaptive Threshold Method Based on the Local Energy of NSCT Coefficients for Image Denoising." In Proceedings of the 2012 International Conference on Communication, Electronics and Automation Engineering. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-31698-2_40.

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Chanda, Katha, Ashish Issac, and Malay Kishore Dutta. "An Adaptive Algorithm for Detection of Exudates Based on Localized Properties of Fundus Images." In Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-7544-7.ch010.

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This article presents an algorithm to detect exudates, which can be considered as one of the many abnormalities, to identify diabetic retinopathy from fundus images. The algorithm is invariant to illumination and works well on poor contrast images with high reflection noise. The artefacts are correctly rejected despite their colour, intensity and contrast being almost similar to that of exudates. Optic disc is localized and segmented using average filter of specially determined size which is an important step in the rejection of false positives. Exudates are located by generating candidate reg
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Oro, Daniel. "Evolution of Sociality and Nonlinear Population Dynamics." In Perturbation, Behavioural Feedbacks, and Population Dynamics in Social Animals. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198849834.003.0006.

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Sociality appears in many life histories during evolution. Some eusocial bees show evolutionary reversions to solitary behaviour, and populations of the same species can be solitary or social, likely depending on local environmental features. Social species need a minimum size to perform adaptive behaviours, such as the search for resources, which is crucial especially under perturbations. This minimum size may become a threshold, setting a phase transition for separating two stable states, from disorganized and maladaptive to organized and adaptive, which also shows hysteresis. The chapter al
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Ucko, David H. "Conclusion." In The Insurgent's Dilemma. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780197651681.003.0009.

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Abstract This concluding chapter summarizes the three adaptive insurgent approaches examined in previous chapters: localized, infiltrative and ideational. In all three, the theory of victory relies on staying below a particular threshold where a military counterattack becomes likely. In localized insurgencies, the group seeks survival by limiting its objectives to the local level. In infiltrative insurgencies, the group finds protection within the political system all the while using violence behind the scenes. In ideational insurgencies, movements are united by an idea rather than territory a
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Luo, Tianyu, Zhiming Chen, and Xin Zhao. "Collaborative Research on UAV Swarm Behavior Based on Bionic Potential Fields." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2025. https://doi.org/10.3233/faia250182.

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A real-time collaborative control method based on bio-mimetic potential fields is proposed for large-scale swarms of unmanned aerial vehicles (UAVs) navigating in an unknown three-dimensional environment, addressing the challenges of planning and obstacle avoidance. This approach enhances group coordination by optimizing local cooperative strategies among individual UAVs. Initially, a three-dimensional potential function model is established using adaptive geometric planning to minimize the obstacle avoidance flight paths of UAVs. The Boids model is integrated with the geometric potential func
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Easwaran, Balamurugan, Sangeetha Krishnan, Anitha P. T., Jackson Akpojaro, and Kirubanand V. B. "Convolutional Neural Network-Based Secured Data Storage Mechanism for Big Data Environments." In Real-Time Applications of Machine Learning in Cyber-Physical Systems. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-9308-0.ch013.

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Data types and amounts in human society are growing at an amazing speed, which is caused by emerging new services such as cloud computing and internet of things (IoT). As data has been a fundamental resource, research on big data has attracted much attention. An optimized cluster storage method for big data in IoT is proposed. First, weights of data blocks in each historical accessing period are calculated by temporal locality of data access, and the access frequencies of the data block in next period are predicted by the weights. Second, the hot spot of a data block is determined with a thres
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Edwards, James, and Junko Konishi. "“Like the Growth Rings of a Tree”." In Sounds, Ecologies, Musics. Oxford University PressNew York, 2023. http://dx.doi.org/10.1093/oso/9780197546642.003.0003.

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Abstract This chapter situates the development of Okinawan musical culture in a socio-ecological systems (SES) framework. Its focus is the sanshin, a three-string lute likely introduced to the Ryūkyū archipelago in the late fourteenth century. As of 2022, the sanshin is among the best-recognized symbols of Ryūkyūan/Okinawan culture worldwide. From the viewpoint of some luthiers and musicians, however, sanshin culture is trapped in a “downward spiral” precipitated by the rise of offshore production and unsustainable tonewood sourcing. This chapter employs the concept of socio-ecological thresho
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Burton, Philip J. "Fostering Climate Change Resilience." In Resilient Forest Management. Oxford University PressOxford, 2025. https://doi.org/10.1093/oso/9780198832997.003.0007.

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Abstract Forests can provide important nature-based solutions to climate change by retaining and sequestering large amounts of carbon dioxide from the atmosphere. But they will also have to adapt to the inevitable consequences of a warming atmosphere, which will threaten the health, productivity, and stability of many forest regions. In protected areas and most multipurpose forests, maintaining a continuity of species and habitats over time and space will facilitate the inherent capacity of ecosystems to adjust through dispersal and adaptive filtering. Prioritizing high-carbon reservoirs (old-
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Conference papers on the topic "Local adaptive threshold"

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Al-Salih Al-Sudani, Asaad A. M. "A Local-Adaptive Threshold System with DFT Compound Motion Analysis." In 2010 First International Conference on Integrated Intelligent Computing (ICIIC 2010). IEEE, 2010. http://dx.doi.org/10.1109/iciic.2010.10.

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Hidayatullah, Priyanto, and Miftahudin Zuhdi. "Automatic sperms counting using adaptive local threshold and ellipse detection." In 2014 International Conference on Information Technology Systems and Innovation (ICITSI). IEEE, 2014. http://dx.doi.org/10.1109/icitsi.2014.7048238.

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Sun, Huiwen. "Interactive Image Segmentation of Graphic Design Based on Adaptive Local Threshold." In 2023 International Conference on Networking, Informatics and Computing (ICNETIC). IEEE, 2023. http://dx.doi.org/10.1109/icnetic59568.2023.00128.

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Shi, Jichuan, and Hong Zhang. "Adaptive local threshold with shape information and its application to object segmentation." In 2009 IEEE International Conference on Robotics and Biomimetics (ROBIO). IEEE, 2009. http://dx.doi.org/10.1109/robio.2009.5420762.

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Kalbitz, Michael, Tobias Scheidat, and Claus Vielhauer. "Investigation of adaptive local threshold segmentation in context of 3D-handwriting forensics." In 2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA). IEEE, 2016. http://dx.doi.org/10.1109/ipta.2016.7821000.

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Yang, Kun, Dan Yin, Jian Zhang, Hua Xiao, and Kaiqing Luo. "An Improved ORB Algorithm of Extracting Features Based on Local Region Adaptive Threshold." In 2019 6th International Conference on Systems and Informatics (ICSAI). IEEE, 2019. http://dx.doi.org/10.1109/icsai48974.2019.9010209.

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Mahandi, Yogi Dwi, Eko Mulyanto Yuniamo, Yoyon Kusnendar Suprapto, and Endang Purwaningsih. "Ink bleed-through binarization of Javanese handwritten ancient document using local adaptive threshold based on local class width." In 2017 International Seminar on Intelligent Technology and its Applications (ISITIA). IEEE, 2017. http://dx.doi.org/10.1109/isitia.2017.8124097.

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Shao, Jiaxin, Dong Du, Xinjie Zhu, and Li Wang. "Weld Slim Line Defects Extraction Based on Adaptive Local Threshold and Modified Hough Transform." In 2009 2nd International Congress on Image and Signal Processing (CISP). IEEE, 2009. http://dx.doi.org/10.1109/cisp.2009.5305518.

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"Counting the Amount of Spermatozoa Active Perframe Video Using Morphology and Local Adaptive Threshold." In International Seminar of Research Month Science and Technology in Publication, Implementation and Commercialization. Galaxy Science, 2018. http://dx.doi.org/10.11594/nstp.2018.0118.

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Abdalla Buzar Lima, Kalyf, Kelson Romulo Teixeira Aires, and Francisco Wender Pereira Dos Reis. "Adaptive Method for Segmentation of Vehicles through Local Threshold in the Gaussian Mixture Model." In 2015 Brazilian Conference on Intelligent Systems (BRACIS). IEEE, 2015. http://dx.doi.org/10.1109/bracis.2015.33.

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