A novel mathematical morphology based edge detection method for medical images

2016 ◽  
Vol 4 (2-4) ◽  
pp. 217-225 ◽  
Author(s):  
Suman Rani
Keyword(s):  
Edge Detection ◽  
Mathematical Morphology ◽  
Detection Method ◽  
Medical Images ◽  
Edge Detection Method

Research on Edge Detection of Thin Sheet Part Dimension Inspection System Based on Machine Vision

2011 ◽  
Vol 103 ◽  
pp. 194-198
Author(s):  
Ji Gang Wu ◽  
Kuan Fang He ◽  
Bin Qin
Keyword(s):  
Machine Vision ◽  
Edge Detection ◽  
Mathematical Morphology ◽  
Detection Method ◽  
Thin Sheet ◽  
Laplacian Operator ◽  
Inspection System ◽  
Edge Location ◽  
Edge Detection Method ◽  
Part Dimension

Aiming at the edge detection of thin sheet part dimension inspection system based on machine vision, a contrast research on edge detection is investigated. The Gaussian blurred simulation image and thin sheet part image are took as evaluation images, and the edge detection are done with Roberts operator, Sobel operator, Prewitt operator, Kirsch operator, Laplacian operator, LOG operator and mathematical morphology edge detection method. The results of edge detection are analyzed deeply, and the edge location accuracy, noise resisting ability and calculation time of each algorithm are compared. The single-pixel width connected contour is acquired with mathematical morphology edge detection method, the detection time are 0.0521 second and 0.457 second respectively. It is appropriate that taking the mathematical morphology edge detection method as the edge detection method of thin sheet part dimension inspection system based on machine vision.

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