Edge detection methods based on generalized type-2 fuzzy logic

In this book four new methods are proposed. In the first method the generalized type-2 fuzzy logic is combined with the morphological gra-dient technique. The second method combines the general type-2 fuzzy systems (GT2 FSs) and the Sobel operator; in the third approach the me-thodology based on Sob...

Full description

Saved in:
Bibliographic Details
Main Authors: Gonzalez, Claudia I., (Author), Melin, Patricia, 1962- (Author), Castro, Juan R., (Author), Castillo, Oscar, (Author)
Format: eBook
Language: English
Published: Cham, Switzerland : Springer, [2017]
Series: SpringerBriefs in applied sciences and technology. Computational intelligence.
Subjects:
Computer vision > Mathematics.
Image processing.
Fuzzy logic.
Vision > Computer simulation.
elektronické knihy
electronic books
ISBN: 9783319539942
9783319539935
Physical Description: 1 online resource : illustrations

Cover

Table of contents

LEADER 04604cam a2200481Ii 4500
001 99865
003 CZ-ZlUTB
005 20201229193758.0
006 m o d
007 cr cnu|||unuuu
008 170308s2017 sz a ob 001 0 eng d
040 |a N$T  |b eng  |e rda  |e pn  |c N$T  |d N$T  |d GW5XE  |d EBLCP  |d YDX  |d UAB  |d NJR  |d IOG  |d COO  |d AZU  |d UPM  |d MERER  |d ESU  |d VT2  |d JBG  |d IAD  |d ICW  |d ICN  |d ILO  |d AUD  |d OTZ  |d OCLCQ  |d IDB  |d U3W  |d MERUC  |d CAUOI  |d OCLCF  |d NOC  |d KSU  |d EZ9  |d AU@  |d OCLCQ  |d WYU  |d OCLCQ  |d UKMGB  |d UKAHL  |d OCLCQ  |d ERF  |d UKBTH  |d OCLCQ 
020 |a 9783319539942  |q (electronic bk.) 
020 |z 9783319539935 
024 7 |a 10.1007/978-3-319-53994-2  |2 doi 
035 |a (OCoLC)974802371  |z (OCoLC)975030420  |z (OCoLC)975091726  |z (OCoLC)975223112  |z (OCoLC)975386466  |z (OCoLC)984868780  |z (OCoLC)999559144  |z (OCoLC)1005757666  |z (OCoLC)1012082568  |z (OCoLC)1048246018  |z (OCoLC)1058379524  |z (OCoLC)1066655750  |z (OCoLC)1086455987  |z (OCoLC)1112508869  |z (OCoLC)1113436971  |z (OCoLC)1113550372  |z (OCoLC)1127179806  |z (OCoLC)1136411171  |z (OCoLC)1198251800 
100 1 |a Gonzalez, Claudia I.,  |e author. 
245 1 0 |a Edge detection methods based on generalized type-2 fuzzy logic /  |c Claudia I. Gonzalez, Patricia Melin, Juan R. Castro, Oscar Castillo. 
264 1 |a Cham, Switzerland :  |b Springer,  |c [2017] 
300 |a 1 online resource :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
490 1 |a SpringerBriefs in applied sciences and technology. Computational intelligence 
504 |a Includes bibliographical references and index. 
505 0 |a Introduction -- Generalized Type-2 Fuzzy Logic -- Edge Detection Methods and Filters Used on Digital Image Processing -- Metrics for Edge Detection Methods -- Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic Systems -- Generalized Type-2 Fuzzy Edge Detection Applied on a Face Recognition System -- Experimentation and Results Discussion -- Conclusions. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a In this book four new methods are proposed. In the first method the generalized type-2 fuzzy logic is combined with the morphological gra-dient technique. The second method combines the general type-2 fuzzy systems (GT2 FSs) and the Sobel operator; in the third approach the me-thodology based on Sobel operator and GT2 FSs is improved to be applied on color images. In the fourth approach, we proposed a novel edge detec-tion method where, a digital image is converted a generalized type-2 fuzzy image. In this book it is also included a comparative study of type-1, inter-val type-2 and generalized type-2 fuzzy systems as tools to enhance edge detection in digital images when used in conjunction with the morphologi-cal gradient and the Sobel operator. The proposed generalized type-2 fuzzy edge detection methods were tested with benchmark images and synthetic images, in a grayscale and color format. Another contribution in this book is that the generalized type-2 fuzzy edge detector method is applied in the preprocessing phase of a face rec-ognition system; where the recognition system is based on a monolithic neural network. The aim of this part of the book is to show the advantage of using a generalized type-2 fuzzy edge detector in pattern recognition applications. The main goal of using generalized type-2 fuzzy logic in edge detec-tion applications is to provide them with the ability to handle uncertainty in processing real world images; otherwise, to demonstrate that a GT2 FS has a better performance than the edge detection methods based on type-1 and type-2 fuzzy logic systems. 
590 |a SpringerLink  |b Springer Complete eBooks 
650 0 |a Computer vision  |x Mathematics. 
650 0 |a Image processing. 
650 0 |a Fuzzy logic. 
650 0 |a Vision  |x Computer simulation. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Melin, Patricia,  |d 1962-  |e author. 
700 1 |a Castro, Juan R.,  |e author. 
700 1 |a Castillo, Oscar,  |e author. 
776 0 8 |i Print version:  |a Gonzalez, Claudia I.  |t Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic.  |d Cham : Springer International Publishing, ©2017  |z 9783319539935 
830 0 |a SpringerBriefs in applied sciences and technology.  |p Computational intelligence. 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://link.springer.com/10.1007/978-3-319-53994-2  |y Plný text 
992 |c NTK-SpringerENG 
999 |c 99865  |d 99865 

Similar Items