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...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Cham, Switzerland :
Springer,
[2017]
|
| Series: | SpringerBriefs in applied sciences and technology. Computational intelligence.
|
| Subjects: | |
| ISBN: | 9783319539942 9783319539935 |
| Physical Description: | 1 online resource : illustrations |
Cover
Table of contents
| LEADER | 04635cam a2200493Ii 4500 | ||
|---|---|---|---|
| 001 | 99865 | ||
| 003 | CZ-ZlUTB | ||
| 005 | 20240914112312.0 | ||
| 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 | ||
| 993 | |x NEPOSILAT |y EIZ | ||
Save to List
Cite this
Export Record
Email this