Optimal Threshold Selection Based on Random Fuzzy Sets

Language: English

Published by LAP LAMBERT Academic Publishing Dez 2020, 2020

620319574X / 9786203195743

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This item is printed on demand - Print on Demand Titel. Neuware -The extended Canny edge detection technique is proposed to identify the edges efficiently using an automatic selection of optimal threshold values. The proposed work states that the detailed results reveal the superior performance over the traditional canny edge detection algorithm. However proposed algorithm fails for low contrast, multiresolution, and unevenly illuminated images. For the second objective, the gradient profile sharpness (GPS) algorithm is presented to emphasize the impact of illumination contrast on human visual perception. GPS is an edge sharpness metric, used for the description of various kinds of gradient profiles. This method focuses on the enhancement of low-resolution images using the triangle model and further the k-mean clustering is applied for object identification. However, it fails with multiresolution, and unevenly illuminated images. Finally, an optimal local thresholding technique based on random fuzzy sets and entropy measures is presented in this book for segmenting multiresolution and unevenly illuminated images. The results are shown in the form of tables and graphs for three methods.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 128 pp. Englisch.

Seller Inventory # 9786203195743

Title
Optimal Threshold Selection Based on Random Fuzzy Sets
Author
R. Pradeep Kumar Reddy
Publisher
LAP LAMBERT Academic Publishing Dez 2020
Publication year
2020
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
620319574X
ISBN 13
9786203195743
Item weight
209 grams
Dimensions
220x150x9 mm

buchversandmimpf2000

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