The design of image edge detection system based on EDA technique

2010 ◽  
Author(s):  
S U Lihua ◽  
Keping Zhao ◽  
L I Wenna
Keyword(s):  
Edge Detection ◽  
Detection System ◽  
Image Edge Detection ◽  
Image Edge

scholarly journals Research on the Three Dimensional Detection Technology for Magnetic Sheet in Industrial Production

2015 ◽  
Vol 9 (1) ◽  
pp. 585-593
Author(s):  
Wenbo Zhang ◽  
Chuo Yang ◽  
Yongxin Feng ◽  
Deyu Zhang
Keyword(s):  
Edge Detection ◽  
Detection System ◽  
Three Dimensional ◽  
Measurement Data ◽  
Surface Profile ◽  
Noise Interference ◽  
Image Edge Detection ◽  
Detection Technology ◽  
Measurement Function ◽  
Image Edge

This study proposes a three-dimensional size detection system for inerratic magnetic sheets according to specific size parameter requirements, such as the volume of the industrial micro magnetic sheet. Based on the noise interference generated by the corresponding detection environment of the magnetic sheet, a hybrid filtering method for the inerratic magnetic sheet is also proposed here, which effectively implements denoising filtering. In the image edge detection module, the edge detection operator most suitable for detecting image edge extraction is selected, and in order to realize the inerratic shape detection in Hough transform, the measurement function of size parameters (including the top surface radius, tilt angle of the profile and top surface, profile thickness, and volume) for the micro cylinder magnetic sheet are designed and implemented. Measurement data, gathered through repeated experiments, builds a more effective detection system for magnetic sheet size than traditional methods at the millimeter level.

scholarly journals Enhancing Ant-Based Algorithms for Medical Image Edge Detection by Admissible Perturbations of Demicontractive Mappings

Symmetry ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 885
Author(s):  
Vasile Berinde ◽  
Cristina Ţicală
Keyword(s):  
Edge Detection ◽  
Medical Image ◽  
Test Functions ◽  
Head Ct ◽  
X Ray ◽  
Numerical Tests ◽  
Image Edge Detection ◽  
Evaluation Of Parameters ◽  
Image Edge ◽  
Demicontractive Mappings

The aim of this paper is to show analytically and empirically how ant-based algorithms for medical image edge detection can be enhanced by using an admissible perturbation of demicontractive operators. We thus complement the results reported in a recent paper by the second author and her collaborators, where they used admissible perturbations of demicontractive mappings as test functions. To illustrate this fact, we first consider some typical properties of demicontractive mappings and of their admissible perturbations and then present some appropriate numerical tests to illustrate the improvement brought by the admissible perturbations of demicontractive mappings when they are taken as test functions in ant-based algorithms for medical image edge detection. The edge detection process reported in our study considers both symmetric (Head CT and Brain CT) and asymmetric (Hand X-ray) medical images. The performance of the algorithm was tested visually with various images and empirically with evaluation of parameters.

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