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Titlebook: Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications; 5th International Sy Reneta P. Barneva,Vale

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楼主: ossicles
发表于 2025-3-23 13:16:46 | 显示全部楼层
Two-Dimensional Input-Revolving Automatathis paper. It is an extension of input-revolving automaton for string languages. We bring out all the variants of this automaton which are based on the various types of column-revolving operations considered here. We compare the families of array languages accepted by the variants of these automata
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Detection of Counterfeit Coins Based on Modeling and Restoration of 3D Imagesoach for detecting a counterfeit coin is nearly impossible in case of destroyed coins whose textures are severely burnt, sulfated, rusted, or colored..In this research, we used a 3-D scanner to scan and model an acceptable number of coins capturing height and depth instead of levels of color. The mo
发表于 2025-3-23 18:33:15 | 显示全部楼层
Automated Brain Tumor Diagnosis and Severity Analysis from Brain MRIve proposed a fully automated approach to differentiate abnormal brain images from healthy MRI. The proposed method segments out the tumor region from the abnormal MRI by analyzing the energy profile of the image pixels. After tumor segmentation, the tumor features are analyzed to classify the degre
发表于 2025-3-24 00:10:07 | 显示全部楼层
Medical Image Segmentation Using Improved Affinity Propagations not need to specify the number of clusters in advance, and can handle clusters with general topology, which makes it uniquely suitable for medical image segmentation as most of the objects in medical images are not roundly shaped. One factor hampering its applications is its relatively slow speed,
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The Role of S—S Groups in Proteins shape complexity using convexity tree derived from the orthogonal convex skull is also presented. The simple and novel approach presented in this paper is useful to derive several shape features of a digital object.
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发表于 2025-3-24 16:01:27 | 显示全部楼层
List of symbols and abbreviations,mproved features. Particularly, our IMAP method can adaptively select the key parameter . in AP according to the medical image gray histogram, and thus can greatly speed up convergence. Experimental results suggest that IMAP has a higher image entropy, lower class square error contrast, and shorter runtime than the AP algorithm.
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发表于 2025-3-25 01:32:54 | 显示全部楼层
Detection of Counterfeit Coins Based on Modeling and Restoration of 3D Imagesal unexpected degradations due to shiny coin images. To solve this problem, the 3-D image was decomposed column-wise to a number of separate 1-D signals, which were analyzed separately and restored by the proposed method. This approach gave remarkable results when used to extract valuable features.
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