Relevant bibliographies by topics / Zhang-suen algorithm

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Academic literature on the topic 'Zhang-suen algorithm'

Author: Grafiati
Published: 3 June 2025
Last updated: 20 July 2025

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Journal articles on the topic "Zhang-suen 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 Thinning Back-propagation (TBP) algorithm is superior to other algorithms; the results show that the Hilditch's algorithm gives somewhat better results than Zhang Suen algorithm, therefore the proposed TBP has been implemented depending on the Hilditch's algorithm. The accuracy of the TBP is equivalent to Hilditch's algorithm but it is a little bit faster than Hilditch's algorithm. Experimental results are presented to compare the performance of the algorithms.
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Mamatov, Narzullo, Malika Jalelova, Vohid Fayziev, Abdurashid Samijonov, and Boymirzo Samijonov. "Hybrid quadratic diagonal algorithm for thinning contour lines." EPJ Web of Conferences 321 (2025): 03005. https://doi.org/10.1051/epjconf/202532103005.

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One of the main issues of image analysis is the separation of contour lines. Nowadays, many effective methods for dividing contour lines have been developed. In solving some practical problems, the results obtained by contour separation methods will not be enough, that is, operations such as thinning, filling, and smoothing of contour lines are required. In this case, the development of an efficient contour thinning algorithm used for accurate separation of the shape of the object is an urgent issue. Contour thinning algorithms can reduce the amount of data to be processed and increase processing speed. Based on the literature analysis, the Zhang-Suen algorithm can be recognized as the most efficient among the contour thinning algorithms due to the efficiency and speed of preserving the shape of the objects in the images. However, this algorithm fails to thin some contour lines. Therefore, in this work, an improved quadratic diagonal algorithm based on the strengths of the Zhang-Suen algorithm is proposed. Also, the proposed algorithm is compared with the existing algorithms regarding error and time criteria in contour detection. By conducting experimental studies, the Hybrid Quadratic Diagonal Algorithm showed the smallest error compared to the algorithms obtained for testing in the experiment.
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Ma, J. ,., V. Yu Tsviatkou, and V. K. Kanapelka. "Two-step skeletization of binary images based on the Zhang-Suen model and the producing mask." «System analysis and applied information science», no. 1 (April 26, 2021): 62–69. http://dx.doi.org/10.21122/2309-4923-2021-1-62-69.

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The aim of the work is to limit excessive thinning and increase the resistance to contour noise of skeletons resulted from arbitrary binary image shape while maintaining a high skeletonization rate. The skeleton is a set of thin lines, the relative position, the size and shape, which conveys information of size, shape and orientation in space of the corresponding homogeneous region of the image. To ensure resistance to contour noise, skeletonization algorithms are built on the basis of several steps. Zhang-Suen algorithm is widely known by high-quality skeletons and average performance, which disadvantages are the blurring of diagonal lines with a thickness of 2 pixels and the totally disappear patterns of 2x2 pixels. To overcome them, a mathematical model that compensates the Zhang-Suen algorithm has proposed in this paper, along with a producing mask and two logical conditions for evaluating its elements.
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Luthra, Ritika, and Gulshan Goyal. "Simulation of Zhang Suen Algorithm using Feed- Forward Neural Networks." Communications on Applied Electronics 2, no. 5 (2015): 9–15. http://dx.doi.org/10.5120/cae2015651750.

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Malik, Simrat Kaur, and Amrit Kaur. "To Propose an Improvement in Zhang-Suen Algorithm using Genetic Algorithm for Image Thinning." International Journal of Computer & Organization Trends 34, no. 2 (2016): 45–49. http://dx.doi.org/10.14445/22492593/ijcot-v34p312.

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Ouadid, Y., B. Elbalaoui, M. Boutaounte, M. Fakir, and B. Minaoui. "Handwritten tifinagh character recognition using simple geometric shapes and graphs." Indonesian Journal of Electrical Engineering and Computer Science 13, no. 2 (2019): 598–605. https://doi.org/10.11591/ijeecs.v13.i2.pp598-605.

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In this paper, a graph based handwritten Tifinagh character recognition system is presented. In preprocessing Zhang Suen algorithm is enhanced. In features extraction, a novel key point extraction algorithm is presented. Images are then represented by adjacency matrices defining graphs where nodes represent feature points extracted by a novel algorithm. These graphs are classified using a graph matching method. Experimental results are obtained using two databases to test the effectiveness. The system shows good results in terms of recognition rate.
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Patel, Ronak B., Dilendra Hiran, and Jayesh M. Patel. "Fingerprint Image Thinning by applying Zhang Suen Algorithm on Enhanced Fingerprint Image." International Journal of Computer Sciences and Engineering 7, no. 5 (2019): 1209–14. http://dx.doi.org/10.26438/ijcse/v7i5.12091214.

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Ouadid, Youssef, Abderrahmane Elbalaoui, Mehdi Boutaounte, Mohamed Fakir, and Brahim Minaoui. "Handwritten tifinagh character recognition using simple geometric shapes and graphs." Indonesian Journal of Electrical Engineering and Computer Science 13, no. 2 (2019): 598. http://dx.doi.org/10.11591/ijeecs.v13.i2.pp598-605.

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<p>In this paper, a graph based handwritten Tifinagh character recognition system is presented. In preprocessing Zhang Suen algorithm is enhanced. In features extraction, a novel key point extraction algorithm is presented. Images are then represented by adjacency matrices defining graphs where nodes represent feature points extracted by a novel algorithm. These graphs are classified using a graph matching method. Experimental results are obtained using two databases to test the effectiveness. The system shows good results in terms of recognition rate.</p>
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Rahayu, Annisa. "Analisa dan Implementasi Metode Zhang-Suen Dalam Pengerangkaan (Skeleton) Pada Citra Untuk Mengurangi Redundant." JURIKOM (Jurnal Riset Komputer) 7, no. 1 (2020): 156. http://dx.doi.org/10.30865/jurikom.v7i1.1946.

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Zhang-Suen is an algorithm for the process of framing an image. This process is often applied to pre-thinning, for example, the initial stages in the pattern recognition process. This is implemented by changing the initial image with binary patterns to represent the framework. In a line-shaped image, the skeleton shows all the information from the original object. The components of the skeleton, namely the position, orientation, and length of the skeleton line segments represent the lines that form the image. These components make it easy to characterize the components of the image. In a line-shaped image, the skeleton shows all the information from the original object. The components of the skeleton, namely the position, orientation, and length of the skeleton line segments represent the lines that form the image. In the process of working on this thesis the software used is MATLAB. MATLAB is a software with a high programming language. The final results of this thesis are sharpened edges. In doing the thesis using the Zhang-Suen method.
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J., Shiny Priyadarshini, and Gladis D. "Analogizing the Thinning Algorithm and Elicitation of Vascular Landmark in Retinal Images." International Journal of Cognitive Informatics and Natural Intelligence 10, no. 3 (2016): 29–37. http://dx.doi.org/10.4018/ijcini.2016070103.

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The retinal tissue is composed of network of blood vessels forming a unique biometric pattern. Feature extraction in retinal blood vessel is becoming an emerging trend in the field of personal identification. Because of its unique identity and less vulnerability to noise and distortion it has become one of the most secured biometric identities. The paper highlights the segmentation of blood vessel and the extraction of feature points such as termination and bifurcation points using Zhang Suen's thinning algorithm in retinal images. A comparison has been made and results are analyzed and tabulated between Zhang Suen and Morphological thinning. The count has been taken for both termination and bifurcation markings as spurious and non- spurious minutiae. The spurious minutiae are removed by using the crossing number method. The results clearly depict that the Zhang Suen's thinning algorithm gives better result when compared to morphological thinning.
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Book chapters on the topic "Zhang-suen algorithm"

1

Ji, Qianru, Haoting Liu, Zhen Tian, Song Wang, Qing Li, and Dewei Yi. "Extraction of Forearm Near-Infrared Vascular Skeleton Based on Zhang-Suen Refinement Algorithm." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-7139-4_64.

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Saudagar, Abdul Khader Jilani, and Habeeb Vulla Mohammed. "OpenCV Based Implementation of Zhang-Suen Thinning Algorithm Using Java for Arabic Text Recognition." In Advances in Intelligent Systems and Computing. Springer India, 2016. http://dx.doi.org/10.1007/978-81-322-2757-1_27.

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J., Shiny Priyadarshini, and Gladis D. "Analogizing the Thinning Algorithm and Elicitation of Vascular Landmark in Retinal Images." In Ophthalmology. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5195-9.ch005.

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The retinal tissue is composed of network of blood vessels forming a unique biometric pattern. Feature extraction in retinal blood vessel is becoming an emerging trend in the field of personal identification. Because of its unique identity and less vulnerability to noise and distortion it has become one of the most secured biometric identities. The paper highlights the segmentation of blood vessel and the extraction of feature points such as termination and bifurcation points using Zhang Suen's thinning algorithm in retinal images. A comparison has been made and results are analyzed and tabulated between Zhang Suen and Morphological thinning. The count has been taken for both termination and bifurcation markings as spurious and non- spurious minutiae. The spurious minutiae are removed by using the crossing number method. The results clearly depict that the Zhang Suen's thinning algorithm gives better result when compared to morphological thinning.
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Conference papers on the topic "Zhang-suen algorithm"

1

Chen, Wei, Lichun Sui, Zhengchao Xu, and Yu Lang. "Improved Zhang-Suen thinning algorithm in binary line drawing applications." In 2012 International Conference on Systems and Informatics (ICSAI). IEEE, 2012. http://dx.doi.org/10.1109/icsai.2012.6223430.

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