Gotowe bibliografie tematyczne / Connected components labeling (CCL)

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Gotowa bibliografia na temat „Connected components labeling (CCL)”

Autor: Grafiati
Data publikacji: 2 listopada 2024
Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Connected components labeling (CCL)"

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Putri, Audini Nifira, and I. Putu Gede Hendra Suputra. "Hijaiyah Letter Segmentation Using Connected Component Labeling Method." JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) 9, no. 2 (2020): 249. http://dx.doi.org/10.24843/jlk.2020.v09.i02.p12.

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Arabic letters or Hijaiyah letters recognition is a challenge in itself because one letter consists of more than one character, namely the main character, companion character such as dots and lines, and punctuation called harakat. The image segmentation process is the most important in a character recognition system because it affects the separation of objects in an image. In this research, Hijaiyah letter segmentation aims to separate the letters according to the character of each letter using the Connected Component Labeling (CCL) method. Merging labels on each character will be done by look
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Ammar, Maan, Muhammad Shamdeen, Mazen Kasedeh, Kinan Mansour, and Waad Ammar. "Using Distance Measure based Classification in Automatic Extraction of Lungs Cancer Nodules for Computer Aided Diagnosis." Signal & Image Processing : An International Journal 12, no. 3 (2021): 25–43. http://dx.doi.org/10.5121/sipij.2021.12303.

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We introduce in this paper a reliable method for automatic extraction of lungs nodules from CT chest images and shed the light on the details of using the Weighted Euclidean Distance (WED) for classifying lungs connected components into nodule and not-nodule. We explain also using Connected Component Labeling (CCL) in an effective and flexible method for extraction of lungs area from chest CT images with a wide variety of shapes and sizes. This lungs extraction method makes use of, as well as CCL, some morphological operations. Our tests have shown that the performance of the introduce method
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Dharmajaya, Gede Putra, and I. Dewa Made Bayu Atmaja Darmawan. "Tempo Tracking on Guru Ding Dong Transcript using Connected Component Labeling (CCL) Method." JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) 8, no. 2 (2020): 137. http://dx.doi.org/10.24843/jlk.2019.v08.i02.p05.

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Music notation is a system of writing musical expressions as outlined in the form of symbols in the form of numbers or blocks. Music notation is used to document the composer's work in the form of songs so that it can be used by the public. In Balinese culture there is also a musical notation called Guru Ding Dong's Notation. This study discusses the segmentation of guru ding dong transcript to determine the tempo of each notation using the Connected Component Labeling method and the rule-based method. CCL algorithm applies Graph theory, where all pixels in an area that have a relationship wit
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Dung, Le, and Makoto Mizukawa. "Fast Hand Feature Extraction Based on Connected Component Labeling, Distance Transform and Hough Transform." Journal of Robotics and Mechatronics 21, no. 6 (2009): 726–38. http://dx.doi.org/10.20965/jrm.2009.p0726.

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In hand gesture recognition or hand tracking systems relied on hand modeling methods, it is usually required to extract from a hand image some hand features. This paper presents a new robust method based on connected component labeling (CCL), distance transform (DT) and Hough transform (HT) to fast and precisely extract the center of the hand, the directions and the fingertip positions of all outstretched fingers on a skin color detection image. First, the method uses a simple but reliable technique that is performed on both the connected component labeling image and the distance transform ima
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Suriani, Uci, and Tri Basuki Kurniawan. "Comparing the Prediction of Numeric Patterns on Form C1 Using the K-Nearest Neighbors (K-NN) Method and a Combination of K-Nearest Neighbors (K-NN) with Connected Component Labeling (CCL)." Journal of Information Systems and Informatics 5, no. 4 (2023): 1569–80. http://dx.doi.org/10.51519/journalisi.v5i4.592.

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Indonesia's elections serve as a cornerstone of its democratic system, with the active participation of its citizens being of paramount importance. To bolster transparency and civic engagement during these elections, the SITUNG system (Election Result Information System) is employed for the tabulation of election results. However, the current tabulation process remains manual, potentially leading to data entry errors and a reduced accuracy of election outcomes. This research endeavor seeks to enhance the efficiency and accuracy of election result tabulation by employing the K-Nearest Neighbors
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Aissou, B., and A. Belhadj Aissa. "AN ADAPTED CONNECTED COMPONENT LABELING FOR CLUSTERING NON-PLANAR OBJECTS FROM AIRBORNE LIDAR POINT CLOUD." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2020 (August 12, 2020): 191–95. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2020-191-2020.

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Abstract. Light Detection And Ranging (LiDAR) is an active remote sensing technology used for several applications. A segmentation of Airborne Laser Scanning (ALS) point cloud is very important task that still interest many scientists. In this paper, the Connected Component Analysis (CCA), or Connected Component Labeling is proposed for clustering non-planar objects from Airborne Laser Scanning (ALS) LiDAR point cloud. From raw point cloud, sub-surface segmentation method is applied as preliminary filter to remove planar surfaces. Starting from unassigned points , CCA is applied on 3D data con
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Kowalczyk, Marcin, Piotr Ciarach, Dominika Przewlocka-Rus, Hubert Szolc, and Tomasz Kryjak. "Real-Time FPGA Implementation of Parallel Connected Component Labelling for a 4K Video Stream." Journal of Signal Processing Systems 93, no. 5 (2021): 481–98. http://dx.doi.org/10.1007/s11265-021-01636-4.

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AbstractIn this paper, a hardware implementation in reconfigurable logic of a single-pass connected component labelling (CCL) and connected component analysis (CCA) module is presented. The main novelty of the design is the support of a video stream in 2 and 4 pixel per clock format (2 and 4 ppc) and real-time processing of 4K/UHD video stream (3840 x 2160 pixels) at 60 frames per second. We discuss several approaches to the issue and present in detail the selected ones. The proposed module was verified in an exemplary application – skin colour areas segmentation – on the ZCU 102 and ZCU 104 e
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Tian, Yifei, Wei Song, Long Chen, Yunsick Sung, Jeonghoon Kwak, and Su Sun. "A Fast Spatial Clustering Method for Sparse LiDAR Point Clouds Using GPU Programming." Sensors 20, no. 8 (2020): 2309. http://dx.doi.org/10.3390/s20082309.

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Fast and accurate obstacle detection is essential for accurate perception of mobile vehicles’ environment. Because point clouds sensed by light detection and ranging (LiDAR) sensors are sparse and unstructured, traditional obstacle clustering on raw point clouds are inaccurate and time consuming. Thus, to achieve fast obstacle clustering in an unknown terrain, this paper proposes an elevation-reference connected component labeling (ER-CCL) algorithm using graphic processing unit (GPU) programing. LiDAR points are first projected onto a rasterized x–z plane so that sparse points are mapped into
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Rakhmadi. "Connected Component Labeling Using Components Neighbors-Scan Labeling Approach." Journal of Computer Science 6, no. 10 (2010): 1099–107. http://dx.doi.org/10.3844/jcssp.2010.1099.1107.

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Asano, Tetsuo, and Hiroshi Tanaka. "In-Place Algorithm for Connected Components Labeling." Journal of Pattern Recognition Research 5, no. 1 (2010): 10–22. http://dx.doi.org/10.13176/11.218.

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Rozprawy doktorskie na temat "Connected components labeling (CCL)"

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Sundström, Alex, and Victor Ähdel. "Is GPGPU CCL worth it? : A performance comparison between some GPU and CPU algorithms for solving connected components labeling on binary images." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-186270.

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Connectedcomponentlabeling(CCL)isatraditionallysequentialproblem that is hard to parallelize. This report aims to test the performance of solving CCL using massively parallel hardware through GPGPU. To achieve this several CCL algorithms were researched and implemented using C++ and OpenCL. The results showed an improvement of up to a factor of 2, which is insignificant when also considering memory transfer. In conclusion, performing CCL on the GPU is not worth it if the data has to first be transferred to and from the GPU.<br>Etikettering av sammansatta komponenter (CCL) är ett traditionellt se
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Babilotte, Killian. "Étude d'endommagement sous choc en dynamique moléculaire par développement d'un algorithme d'analyse in-situ massivement parallèle." Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPASP085.

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Dans le contexte de l'étude en condition extrême de la matière condensée, de nombreuses questions restent encore ouvertes pour comprendre certains phénomènes, notamment à cause de la difficulté de leur étude expérimentale. Selon les phénomènes étudiés, l'insuffisance de données expérimentale peut limiter la modélisation des phénomènes, ou, lorsque les modèles existent, elle peut empêcher leur calibration ou d'évaluer leur pertinence. La dynamique moléculaire (DM) est une technique de choix pour étudier ces phénomènes car elle permet de simuler la réponse d'un système uniquement à partir de la
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CHANG, YUAN CHUAN, and 張永專. "Connected Components Labeling Algorithm Applied to Image Segmentation." Thesis, 1995. http://ndltd.ncl.edu.tw/handle/86231509563166292537.

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碩士<br>國立中山大學<br>電機工程研究所<br>83<br>A new image segmentation algorithm based on the textural information of image pixels is presented. Image segmentation is a fundamental technique for the application of computer vision. There are two difficulties for the technique of image segmentation.First, the choice of the characteristic with which the regions of an image segmentation are homogeneous enough for the decision.Second,the connection problem for pixels within the segmented components in an arb
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WU, BO-YEN, and 吳柏彥. "Connected Components Labeling Algorithm By Unidirectional Run-length Table Searching." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/52054847292075951596.

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碩士<br>輔仁大學<br>資訊工程學系碩士班<br>104<br>In order to improve the efficiency of connected components labeling, this paper presents a new connected components labeling method by unidirectional run-length table searching. Instead of searching the run-length table up and down, this method only needs to search the table in one direction. The number of run-length code searching in the labeling algorithm is reduced with our method, thus, our method increases the efficiency of connected components labeling. Also in our method the run-length code of each connected components are stored as a linked list. When
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Lin, Keng-li, and 林耿立. "An Efficient Two-Phase Algorithm for Labeling Connected Components Based on a Two-Scan." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/21955013549406582369.

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碩士<br>國立臺灣科技大學<br>資訊工程系<br>97<br>Owing to the demand of more efficient technology about robot vision applications, the researches on intelligent pattern detection and recognition have been rapidly grown in recent years. In addition to that an adaptive pattern classifier may affect recognition results, one of the most important characteristics of an intelligent robot vision system is to employ a quick and efficient pattern extraction method. To achieve such a good, in this thesis, we present an efficient two-phase labeling connected components algorithm based on a two-scan structure. In the la
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Części książek na temat "Connected components labeling (CCL)"

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Bolelli, Federico, Stefano Allegretti, and Costantino Grana. "Connected Components Labeling on Bitonal Images." In Image Analysis and Processing – ICIAP 2022. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06430-2_29.

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Grana, Costantino, Lorenzo Baraldi, and Federico Bolelli. "Optimized Connected Components Labeling with Pixel Prediction." In Advanced Concepts for Intelligent Vision Systems. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-48680-2_38.

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Ma, Dongdong, Shaojun Liu, and Qingmin Liao. "Run-Based Connected Components Labeling Using Double-Row Scan." In Lecture Notes in Computer Science. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-71598-8_24.

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Bolelli, Federico, Michele Cancilla, Lorenzo Baraldi, and Costantino Grana. "Connected Components Labeling on DRAGs: Implementation and Reproducibility Notes." In Reproducible Research in Pattern Recognition. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23987-9_7.

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Asano, Tetsuo, and Sergey Bereg. "A New Framework for Connected Components Labeling of Binary Images." In Combinatorial Image Analaysis. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34732-0_7.

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Bolelli, Federico, Michele Cancilla, and Costantino Grana. "Two More Strategies to Speed Up Connected Components Labeling Algorithms." In Image Analysis and Processing - ICIAP 2017. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68548-9_5.

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Harrison, Cyrus, Jordan Weiler, Ryan Bleile, Kelly Gaither, and Hank Childs. "A Distributed-Memory Algorithm for Connected Components Labeling of Simulation Data." In Mathematics and Visualization. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-44900-4_1.

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Allegretti, Stefano, Federico Bolelli, Michele Cancilla, Federico Pollastri, Laura Canalini, and Costantino Grana. "How Does Connected Components Labeling with Decision Trees Perform on GPUs?" In Computer Analysis of Images and Patterns. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-29888-3_4.

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Rasmusson, A., T. S. Sørensen, and G. Ziegler. "Connected Components Labeling on the GPU with Generalization to Voronoi Diagrams and Signed Distance Fields." In Advances in Visual Computing. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41914-0_21.

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Bolelli, Federico, Stefano Allegretti, and Costantino Grana. "A Heuristic-Based Decision Tree for Connected Components Labeling of 3D Volumes: Implementation and Reproducibility Notes." In Reproducible Research in Pattern Recognition. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-76423-4_9.

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Streszczenia konferencji na temat "Connected components labeling (CCL)"

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Monif, Mamdouh, Kinan Mansour, Waad Ammar, and Maan Ammar. "Automatic Detection and Extraction of Lungs Cancer Nodules Using Connected Components Labeling and Distance Measure Based Classification." In 11th International Conference on Computer Science and Information Technology (CCSIT 2021). AIRCC Publishing Corporation, 2021. http://dx.doi.org/10.5121/csit.2021.110705.

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We introduce in this paper a method for reliable automatic extraction of lung area from CT chest images with a wide variety of lungs image shapes by using Connected Components Labeling (CCL) technique with some morphological operations. The paper introduces also a method using the CCL technique with distance measure based classification for the efficient detection of lungs nodules from extracted lung area. We further tested our complete detection and extraction approach using a performance consistency check by applying it to lungs CT images of healthy persons (contain no nodules). The experime
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Khoshki, Rohollah Mazrae, and Subramaniam Ganesan. "Improved Automatic License Plate Recognition (ALPR) system based on single pass Connected Component Labeling (CCL) and reign property function." In 2015 IEEE International Conference on Electro/Information Technology (EIT). IEEE, 2015. http://dx.doi.org/10.1109/eit.2015.7293378.

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Bolelli, Federico, Lorenzo Baraldi, Michele Cancilla, and Costantino Grana. "Connected Components Labeling on DRAGs." In 2018 24th International Conference on Pattern Recognition (ICPR). IEEE, 2018. http://dx.doi.org/10.1109/icpr.2018.8545505.

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Grana, Costantino, Daniele Borghesani, and Rita Cucchiara. "Fast block based connected components labeling." In 2009 16th IEEE International Conference on Image Processing ICIP 2009. IEEE, 2009. http://dx.doi.org/10.1109/icip.2009.5413731.

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Nagaraj, Nithin, and Shekhar Dwivedi. "CxCxC: compressed connected components labeling algorithm." In Medical Imaging, edited by Josien P. W. Pluim and Joseph M. Reinhardt. SPIE, 2007. http://dx.doi.org/10.1117/12.709210.

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Zuo, Yingnan, and Danyang Zhang. "Connected Components Labeling Algorithms: A Review." In 2023 9th International Conference on Computer and Communications (ICCC). IEEE, 2023. http://dx.doi.org/10.1109/iccc59590.2023.10507420.

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Grana, Costantino, Daniele Borghesani, Paolo Santinelli, and Rita Cucchiara. "High Performance Connected Components Labeling on FPGA." In 2010 21st International Conference on Database and Expert Systems Applications (DEXA). IEEE, 2010. http://dx.doi.org/10.1109/dexa.2010.57.

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Grana, Costantino, Federico Bolelli, Lorenzo Baraldi, and Roberto Vezzani. "YACCLAB - Yet Another Connected Components Labeling Benchmark." In 2016 23rd International Conference on Pattern Recognition (ICPR). IEEE, 2016. http://dx.doi.org/10.1109/icpr.2016.7900112.

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Allegretti, Stefano, Federico Bolelli, Michele Cancilla, and Costantino Grana. "Optimizing GPU-Based Connected Components Labeling Algorithms." In 2018 IEEE International Conference on Image Processing, Applications and Systems (IPAS). IEEE, 2018. http://dx.doi.org/10.1109/ipas.2018.8708900.

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Santiago, Diego J. C., Tsang Ing Ren, George D. C. Cavalcanti, and Tsang Ing Jyh. "Fast block-based algorithms for connected components labeling." In ICASSP 2013 - 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2013. http://dx.doi.org/10.1109/icassp.2013.6638021.

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Raporty organizacyjne na temat "Connected components labeling (CCL)"

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Yang, Xue D. An Improved Algorithm for Labeling Connected Components in a Binary Image. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada210100.

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