An edge detection method based on generalized type-2 fuzzy logic

2013 ◽  
Author(s):  
Claudia Gonzalez ◽  
Juan R. Castro ◽  
Patricia Melin ◽  
Oscar Castillo
Keyword(s):  
Fuzzy Logic ◽  
Edge Detection ◽  
Detection Method ◽  
Edge Detection Method ◽  
Generalized Type

An improved sobel edge detection method based on generalized type-2 fuzzy logic

2014 ◽  
Vol 20 (2) ◽  
pp. 773-784 ◽  
Author(s):  
Claudia I. Gonzalez ◽  
Patricia Melin ◽  
Juan R. Castro ◽  
Olivia Mendoza ◽  
Oscar Castillo
Keyword(s):  
Fuzzy Logic ◽  
Edge Detection ◽  
Detection Method ◽  
Sobel Edge Detection ◽  
Edge Detection Method ◽  
Generalized Type

Edge-Detection Method for Image Processing Based on Generalized Type-2 Fuzzy Logic

2014 ◽  
Vol 22 (6) ◽  
pp. 1515-1525 ◽  
Author(s):  
Patricia Melin ◽  
Claudia I. Gonzalez ◽  
Juan R. Castro ◽  
Olivia Mendoza ◽  
Oscar Castillo
Keyword(s):  
Image Processing ◽  
Fuzzy Logic ◽  
Edge Detection ◽  
Detection Method ◽  
Edge Detection Method ◽  
Generalized Type

scholarly journals Fuzzy Logic based Edge Detection Method for Image Processing

2018 ◽  
Vol 8 (3) ◽  
pp. 1863 ◽  
Author(s):  
Abdulrahman Moffaq Alawad ◽  
Farah Diyana Abdul Rahman ◽  
Othman O. Khalifa ◽  
Norun Abdul Malek
Keyword(s):  
Image Processing ◽  
Fuzzy Logic ◽  
Edge Detection ◽  
Digital Image Processing ◽  
Detection Method ◽  
Detection Task ◽  
Fuzzy Logic Method ◽  
Recognition Systems ◽  
Edge Detection Method ◽  
Depth Curves

Edge detection is the first step in image recognition systems in a digital image processing. An effective way to resolve many information from an image such depth, curves and its surface is by analyzing its edges, because that can elucidate these characteristic when color, texture, shade or light changes slightly. Thiscan lead to misconception image or vision as it based on faulty method. This work presentsa new fuzzy logic method with an implemention. The objective of this method is to improve the edge detection task. The results are comparable to similar techniques in particular for medical images because it does not take the uncertain part into its account.

scholarly journals Edge Detection Method for Latent Fingerprint Images Using Intuitionistic Type-2 Fuzzy Entropy

2016 ◽  
Vol 16 (3) ◽  
pp. 205-218 ◽  
Author(s):  
Devarasan Ezhilmaran ◽  
Manickam Adhiyaman
Keyword(s):  
Edge Detection ◽  
Distance Measure ◽  
Detection Method ◽  
Fuzzy Entropy ◽  
Latent Fingerprint ◽  
Exact Boundary ◽  
Quality Image ◽  
Edge Detection Method ◽  
Fuzzy Divergence

Abstract A latent fingerprint is an interesting issue because of it has attained from crime places and moreover contained a low quality image, less number of features and unwanted noises. It is necessity to extract the original image with exact boundary from the surface for further processing such as authentication, identification and matching. In this work, a new distance measure has been proposed for latent fingerprint edge detection using Intuitionistic Type-2 Fuzzy Entropy (IT2FE) and a comprehensible definition is made for Intuitionistic Type-2 Fuzzy Sets (IT2FS). IT2FS takes into account of uncertainty in the form of membership function which is also termed as Intuitionistic Type-2 Fuzzy Divergence (IT2FD). The experiment is conducted with public domain fingerprint databases such as FVC-2004 and IIIT-latent fingerprint. The edge detection is carried out with the proposed method and the results are discovered better regarding existing method.

Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic

2017 ◽  
Author(s):  
Claudia I. Gonzalez ◽  
Patricia Melin ◽  
Juan R. Castro ◽  
Oscar Castillo
Keyword(s):  
Fuzzy Logic ◽  
Edge Detection ◽  
Detection Methods ◽  
Generalized Type
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