An edge detection method by combining fuzzy logic and neural network

2005 ◽  
Author(s):  
Rong Wang ◽  
Li-Qun Gao ◽  
Shu Yang ◽  
Yan-Chun Liu
Keyword(s):  
Neural Network ◽  
Fuzzy Logic ◽  
Edge Detection ◽  
Detection Method ◽  
Edge Detection Method

A Pedestrian Recognition and Locating Method under the Condition of Surveillance

2014 ◽  
Vol 602-605 ◽  
pp. 1666-1669
Author(s):  
Xiao Qing Wu ◽  
Xiang Long ◽  
Xiong Yang
Keyword(s):  
Neural Network ◽  
Edge Detection ◽  
Detection Method ◽  
Image Sequence ◽  
Selection Method ◽  
Forward Selection ◽  
Scatter Matrix ◽  
Som Neural Network ◽  
Edge Detection Method ◽  
Sequential Forward Selection

In our previous work, we proposed a motion edge detection method to extract the contour of the pedestrian in an image sequence. In order to locate and recognize the pedestrian in an image after its contour was extracted, we propose the BLBP method to describe the binary texture of the contour of the pedestrian in the image, and use the BLBP histogram to get the recognition feature of the pedestrian. And then we use the scatter matrix and the sequential forward selection method to select useful features, and use the SOM neural network to perform the recognition work. At the last part of this paper, some results of our experiments are illustrated there, which shows that our method is satisfactory.

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.

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
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