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

Pradeep Kumar Reddy, R.; Nagaraju, C.

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

Sinossi

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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Editore
LAP LAMBERT Academic Publishing
Data di pubblicazione
2020
Lingua
Inglese
ISBN 10 
620319574X
ISBN 13 
9786203195743
Rilegatura
Copertina flessibile
Numero di pagine
128
Contatto del produttore
non disponibile
Persona responsabile
KreGa Onlinehandel GmbH
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info@krega-onlinehandel.de

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