scholarly journals General Type-2 Fuzzy Sugeno Integral for Edge Detection

2019 ◽  
Vol 5 (8) ◽  
pp. 71
Author(s):  
Gabriela E. Martínez ◽  
Claudia I. Gonzalez ◽  
Olivia Mendoza ◽  
Patricia Melin
Keyword(s):  
Edge Detection ◽  
Figure Of Merit ◽  
General Type ◽  
Detection Method ◽  
General Process ◽  
Sugeno Integral ◽  
Morphological Gradient ◽  
Edge Detection Method ◽  
Image Gradients

A type-2 fuzzy edge detection method is presented in this paper. The general process consists of first obtaining the image gradients in the four directions—horizontal, vertical, and the two diagonals—and this technique is known as the morphological gradient. After that, the general type-2 fuzzy Sugeno integral (GT2 FSI) is used to integrate the four image gradients. In this second step, the GT2 FSI establishes criteria to determine at which level the obtained image gradient belongs to an edge during the process; this is calculated assigning different general type-2 fuzzy densities, and these fuzzy gradients are aggregated using the meet and join operators. The gradient integration using the GT2 FSI provides a methodology for achieving more robust edge detection, even more if we are working with blurry images. The experimental evaluations are performed on synthetic and real images, and the accuracy is quantified using Pratt’s Figure of Merit. The results values demonstrate that the proposed edge detection method outperforms other existing algorithms.

Edge Detection of Color Images Based on Improved Morphological Gradient Operators

2014 ◽  
Vol 511-512 ◽  
pp. 550-553 ◽  
Author(s):  
Jian Yong Liang
Keyword(s):  
Edge Detection ◽  
Detection Method ◽  
Color Image ◽  
Color Images ◽  
Morphological Gradient ◽  
Image Edge Detection ◽  
Gradient Based ◽  
Image Edge ◽  
Edge Detection Method ◽  
Traditional Approaches

Edge detection is an old and hot topic in image processing, pattern recognition and computer vision. Numerous edge detection approaches have been proposed to gray images. It is difficult to extend these approaches to color image edge detection. A novel edge detection method based on mathematical morphology for color images is proposed in this paper. The proposed approach firstly compute vector gradient based on morphological gradient operators, and then compute the optimal gradient according to structure elements with different size. Finally, we use a threshold to binary the gradient images and then obtain the edge images. Experimental results show that the proposed approach has advantages of suppressing noise and preserving edge details and it is not sensitive to noise pixel. The finally edge images via the proposed method have high PSNR and NC compared with the traditional approaches.

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

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.

Spline Interpolation Sub Pixel Edge Detection Method Based on Improved Morphological Gradient

2014 ◽  
Vol 971-973 ◽  
pp. 1756-1759 ◽  
Author(s):  
Chun Yan Nan ◽  
Xiao Hui Yang
Keyword(s):  
Edge Detection ◽  
Simulation Experiment ◽  
Detection Method ◽  
Interpolation Method ◽  
Spline Interpolation ◽  
Morphological Gradient ◽  
Image Edge Detection ◽  
Image Edge ◽  
Edge Detection Method ◽  
Improved Methods

In order to improve the accuracy of image edge detection.A spline interpolation sub pixel edge detection method based on improved morphological gradient is proposed in the thesis.Firstly,using improved morphological gradient filter operator for image coarse positioning;Then,the cubic spline interpolation method is carried out for pixel-level edge of the image interpolation so that the image edge locates in sub-pixel level.Have a simulation experiment to improved methods by Matlab, results show that the improved method can accurately detect the edge of the image, edge detection is fine, the precision of positioning is hight and the result of detection is good.

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

Edge detection method based on Interval type-2 fuzzy systems for color images

2015 ◽  
Author(s):  
C. I. Gonzalez ◽  
J. R. Castro ◽  
O. Mendoza ◽  
A. Rodriguez-Diaz ◽  
P. Melin ◽  
...  
Keyword(s):  
Edge Detection ◽  
Fuzzy Systems ◽  
Detection Method ◽  
Color Images ◽  
Edge Detection Method ◽  
Interval Type
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