Optimal Threshold Selection Based on Random Fuzzy Sets: for Image Segmentation and Analysis - Softcover

Pradeep Kumar Reddy, R.; Nagaraju, C.

 
9786203195743: Optimal Threshold Selection Based on Random Fuzzy Sets: for Image Segmentation and Analysis
Softcover
ISBN 10: 620319574X ISBN 13: 9786203195743
Verlag: LAP LAMBERT Academic Publishing, 2020

Inhaltsangabe

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.

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Über die Autorin bzw. den Autor

Dr. R. Pradeep Kumar Reddy is working as an Assistant Professor in the Department of CSE at Y.S.R Engineering College of Yogi Vemana University, Proddatur. He published 25 research articles in various National and International Journals. He attended 10 national and International Conferences. He has attended ten workshops. He is a member of ISTE.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2020
Sprache
Englisch
ISBN 10 
620319574X
ISBN 13 
9786203195743
Einband
Taschenbuch
Anzahl der Seiten
128
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
Editions Vie
customerservice@vdm-vsg.de

Brivibas gatve 197
Riga
1039
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