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.

Research on Edge Detection Technology

2013 ◽  
Vol 860-863 ◽  
pp. 2884-2887 ◽  
Author(s):  
Yu Bing Dong ◽  
Ming Jing Li ◽  
Hai Yan Wang
Keyword(s):  
Image Processing ◽  
Edge Detection ◽  
Canny Edge Detection ◽  
Detection Techniques ◽  
Image Edge Detection ◽  
Detection Technology ◽  
Canny Edge ◽  
Important Field ◽  
Image Edge ◽  
Better Than

Edge detection is an important field in image processing. Edge detection is in the forefront of image processing for object detection, it is crucial to have a good understanding of edge detection techniques. Various image edge detection techniques are introduced. These techniques are compared by using MATLAB7.0. The qualities of these techniques are elaborated. The results show that Canny edge detection techniques is better than others.

scholarly journals Adaptive Image Edge Extraction Based on Discrete Algorithm and Classical Canny Operator

Symmetry ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 1749
Author(s):  
Phusit Kanchanatripop ◽  
Dafang Zhang
Keyword(s):  
Edge Detection ◽  
Feature Detection ◽  
Detection Method ◽  
Canny Operator ◽  
One Dimensional ◽  
Image Edge Detection ◽  
Discrete Algorithm ◽  
Detection Technology ◽  
Image Edge ◽  
Edge Detection Method

In order to improve the accuracy of image edge detection, this paper studies the adaptive image edge detection technology based on discrete algorithm and classical Canny operator. First, the traditional sub-pixel edge detection method is illustrated based on the related literature research. Then, Canny operator is used for detection, the edge model of the quadric curve is established using discrete data, and the adaptive image edge parameters are obtained using one-dimensional gray moment. Experimental results show that the accuracy of feature detection is 99%, which can be applied to the practice of image edge detection to a certain extent.

Image Edge Detection Based on Ant Colony Optimization Algorithm

2016 ◽  
Vol 8 (1) ◽  
pp. 1-12
Author(s):  
Yin Huan
Keyword(s):  
Edge Detection ◽  
Ant Colony Optimization ◽  
Ant Colony ◽  
Detection Methods ◽  
Matlab Simulation ◽  
Ant Colony Optimization Algorithm ◽  
Edge Image ◽  
Noise Interference ◽  
Image Edge Detection ◽  
Image Edge

Ant colony optimization (ACO) is a new heuristic algorithm which has been proven a successful technique. The article applies the ACO to the image edge detection, get edge image edge according to different neighborhood access policy through MATLAB simulation, and use the best neighborhood strategy to get detection. Compared with the traditional edge detection methods, the algorithm can effectively suppress the noise interference, retain most of the effective information of the image.

Numerical simulation of three dimensional flow in Yazidang Reservoir based on image processing

2020 ◽  
Vol 39 (2) ◽  
pp. 1591-1600
Author(s):  
Lingxiao Huang ◽  
Qiao Qiao ◽  
Lanxiang Zheng ◽  
Libo Liu ◽  
Wenjuan Zhao ◽  
...  
Keyword(s):  
Numerical Simulation ◽  
Mathematical Model ◽  
Flow Field ◽  
Water Flow ◽  
Three Dimensional ◽  
Water Area ◽  
Image Edge Detection ◽  
Detection Technology ◽  
Processing Accuracy ◽  
Image Edge

In order to study the water flow movement of the Yazidang Reservoir, this paper generates the initial terrain for the researched water area with the image stitching technology and image edge detection technology, establishes a 3D k - ɛ mathematical model, solves the equations discretely by FVM and SIMPLEC algorithms, studies the numerical simulation of the water flow movement of the reservoir under four working conditions, and analyzes the flow field on the surface and at the bottom of the reservoir. The results show the improved terrain pre-processing accuracy and efficiency of the researched water area and the rationality of the water flow field and rate simulation results, which means that the established 3D turbulence mathematical model can be applied to the numerical simulation of the reservoirs similar to the Yazidang Reservoir. The numerical simulation of 3D turbulence in Yazidang Reservoir provides a theoretical basis and practical application value for the numerical simulation of similar reservoirs.

The Application of the Image Edge Detection in Analysis of Composite Insulators Hydrophobicity

2013 ◽  
Vol 373-375 ◽  
pp. 517-520 ◽  
Author(s):  
Yan Qing Li ◽  
Zi Hang Jia
Keyword(s):  
Edge Detection ◽  
Histogram Equalization ◽  
Automatic Identification ◽  
Water Droplets ◽  
Threshold Method ◽  
Composite Insulator ◽  
Image Edge Detection ◽  
Detection Technology ◽  
Equalization Technique ◽  
Image Edge

Image edge detection technology which is applied to the hydrophobic grade discrimination of composite insulator is of great significance. How to accurately detect the edge of the water droplets is very important in the process of automatic identification of composite insulator hydrophobicity. This paper detects composite insulator hydrophobic image edge with image edge detection technology. Firstly, adaptive histogram equalization technique is used to enhance image, reducing the similarity of target and background which is caused by the transparency of water. Then the paper uses the improved Canny algorithm which is introduced Ostu threshold method to detect the image edge. The experimental results show that the improved algorithm can accurately acquire the water droplets edge of composite insulator surface, which can lay a foundation for automatic discrimination of composite insulator hydrophobic grade.

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