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Relevant bibliographies by topics / Hilditch algorithm

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Academic literature on the topic 'Hilditch algorithm'

Author: Grafiati

Published: 3 June 2025

Last updated: 20 July 2025

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Journal articles on the topic "Hilditch algorithm"

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Ali, Itemad. "Neural Net Approach For Image Thinning." Journal of Al-Rafidain University College For Sciences ( Print ISSN: 1681-6870 ,Online ISSN: 2790-2293 ), no. 2 (October 21, 2021): 66–78. http://dx.doi.org/10.55562/jrucs.v28i2.391.

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Thinning is the operation that seeks to reduce a connected region of pixels of a given property set to a small size. One of the most applications of thinning is the image recognission. In this paper, we proposed a new algorithm for thinning an image using Neural Net approach called (Thinning Back- propagation algorithm, TBP), the results show that the operation considered including Zhang Suen algorithm, Hilditch's algorithm. Applying Zhang Suen and Hilditch's algorithms showed that the output of the Hilditch's algorithm is better from the presence of shape accuracy point of view. The proposed

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Huang, Bo, Xiang Liu, Jiawei Yan, et al. "Fully Automated Dispensing System Based on Machine Vision." Applied Sciences 13, no. 16 (2023): 9206. http://dx.doi.org/10.3390/app13169206.

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To address the problems of low productivity and sizeable dispensing positioning errors in manual and semi-automatic dispensing processes in small- and medium-sized electronic enterprises, this study proposes a fully automatic dispensing method based on visual positioning with RJDNEL-type PCBs as the research object. The fully automatic dispensing system is constructed through the construction of a mechanical structure, the selection of optical equipment, and the debugging of the control system. The method is based on optical imaging technology. Firstly, the dispensing area is extracted through

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3

VERWER, BEN J. H., LUCAS J. VAN VLIET, and PIET W. VERBEEK. "BINARY AND GREY-VALUE SKELETONS: METRICS AND ALGORITHMS." International Journal of Pattern Recognition and Artificial Intelligence 07, no. 05 (1993): 1287–308. http://dx.doi.org/10.1142/s0218001493000637.

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A metric defines the distance between any two points. The “natural” metrics of the digital world do not approximate the Euclidean metric of the continuous world well. Skeletonization (sometimes named topology preserving shrinking or homotopic thinning) is one example in which this leads to unacceptable results. In the present work we propose and demonstrate skeletonization using path-based metrics which are a better approximation of the Euclidean metric. Moreover, we achieve a good performance on sequential processors by processing each pixel only once in the calculations of binary (Hilditch)

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Naseri, Mosayeb, Shahrokh Heidari, Reza Gheibi, Li-Hua Gong, Mehrdad Ahmadzadeh Rajii, and Amir Sadri. "A novel quantum binary images thinning algorithm: A quantum version of the Hilditch's algorithm." Optik 131 (February 2017): 678–86. http://dx.doi.org/10.1016/j.ijleo.2016.11.124.

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DeCosta, Paul, Kyugon Cho, Stephen Shemlon, Heesung Jun, and Stanley M. Dunn. "Interpreting HVEM of muscle-cell impulse networks." Proceedings, annual meeting, Electron Microscopy Society of America 50, no. 1 (1992): 126–27. http://dx.doi.org/10.1017/s042482010012103x.

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Introduction: The analysis and interpretation of electron micrographs of cells and tissues, often requires the accurate extraction of structural networks, which either provide immediate 2D or 3D information, or from which the desired information can be inferred. The images of these structures contain lines and/or curves whose orientation, lengths, and intersections characterize the overall network.Some examples exist of studies that have been done in the analysis of networks of natural structures. In, Sebok and Roemer determine the complexity of nerve structures in an EM formed slide. Here the

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Anastasia, Rita Widiarti. "Comparing Hilditch, Rosenfeld, Zhang-Suen,and Nagendraprasad -Wang-Gupta Thinning." June 28, 2011. https://doi.org/10.5281/zenodo.1063020.

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This paper compares Hilditch, Rosenfeld, Zhang- Suen, dan Nagendraprasad Wang Gupta (NWG) thinning algorithms for Javanese character image recognition. Thinning is an effective process when the focus in not on the size of the pattern, but rather on the relative position of the strokes in the pattern. The research analyzes the thinning of 60 Javanese characters. Time-wise, Zhang-Suen algorithm gives the best results with the average process time being 0.00455188 seconds. But if we look at the percentage of pixels that meet one-pixel thickness, Rosenfelt algorithm gives the best results, with a

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Nazarkevych, Mariya, Serhii Dmytruk, Volodymyr Hrytsyk, et al. "Evaluation of the effectiveness of different image skeletonization methods in biometric security systems." International Journal of Sensors, Wireless Communications and Control 10 (December 10, 2020). http://dx.doi.org/10.2174/2210327910666201210151809.

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Background: Systems of the Internet of Things are actively implementing biometric systems. For fast and high-quality recognition in sensory biometric control and management systems, skeletonization methods are used at the stage of fingerprint recognition. The analysis of the known skeletonization methods of Zhang-Suen, Hilditch, Ateb-Gabor with the wave skeletonization method has been carried out and it shows a good time and qualitative recognition results. Methods: The methods of Zhang-Suen, Hildich and thinning algorithm based on Ateb-Gabor filtration, which form the skeletons of biometric f

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Conference papers on the topic "Hilditch algorithm"

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Yu, Jia, and Yaqin Li. "Improving Hilditch Thinning Algorithms for Text Image." In 2009 International Conference on E-Learning, E-Business, Enterprise Information Systems, and E-Government. IEEE, 2009. http://dx.doi.org/10.1109/eeee.2009.44.

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