A circle detection method proposal for image processing based on Hu invariant moments, Hough transform, and template matching

2016 ◽  
Author(s):  
Abel Alejandro Dueñas Rodriguez.
Keyword(s):  
Image Processing ◽  
Hough Transform ◽  
Template Matching ◽  
Detection Method ◽  
Circle Detection ◽  
Invariant Moments

Detection of Microbubbles Using the Hough Transform

2013 ◽  
Vol 378 ◽  
pp. 478-482
Author(s):  
Yoshihiro Mitani ◽  
Toshitaka Oki
Keyword(s):  
Image Processing ◽  
Error Rate ◽  
Hough Transform ◽  
Detection Method ◽  
Experimental Results ◽  
Average Error ◽  
Image Processing Techniques ◽  
Average Error Rate ◽  
Processing Techniques

The microbubble has been widely used and shown to be effective in various fields. Therefore, there is an importance of measuring accurately its size by image processing techniques. In this paper, we propose a detection method of microbubbles by the approach based on the Hough transform. Experimental results show only 4.49% of the average error rate of the undetected microbubbles and incorrectly detected ones. This low percentage of the error rate shows the effectiveness of the proposed method.

An Efficient Image-Based Method for Detection of Fastener on Railway

2011 ◽  
Vol 346 ◽  
pp. 731-737 ◽  
Author(s):  
Jin Feng Yang ◽  
Man Hua Liu ◽  
Hui Zhao ◽  
Wei Tao
Keyword(s):  
Image Processing ◽  
Efficient Method ◽  
Template Matching ◽  
Detection Method ◽  
Experimental Results ◽  
Feature Descriptor ◽  
Complex Environment ◽  
Computation Efficiency ◽  
The Status ◽  
Direction Field

This paper presents an efficient method to detect the fastener based on the technologies of image processing and optical detection. As feature descriptor, the Direction Field of fastener image is computed for template matching. This fastener detection method can be used to determine the status of fastener on the corresponding track, i.e., whether the fastener is on the track or missing. Experimental results are presented to show that the proposed method is computation efficiency and is robust for fastener detection in complex environment.

The Contour Size Detection of Driver Airbag Based on Image Processing Technology

2013 ◽  
Vol 658 ◽  
pp. 546-550
Author(s):  
Xiao Dong Wang ◽  
Xiao Wei Chen ◽  
Wei Zhang ◽  
Bo Liu ◽  
Liang Dong An
Keyword(s):  
Image Processing ◽  
Template Matching ◽  
Detection Method ◽  
Detection Efficiency ◽  
Ccd Camera ◽  
Processing Technology ◽  
Edge Extraction ◽  
Image Preprocessing ◽  
The Poor ◽  
Image Processing Technology

In this paper we have developed a new methodology for detecting the contour size of driver airbag based on image processing technology and Machine vision. Through the CCD camera we can obtain the image, and then do the following operations by a computer, such as binarization, edge extraction and so on the other image preprocessing. This methodology uses intelligent template matching technology to detect the airbags and by comparing with the predefined parameter to determine whether the contour size is qualified .The experimental results show that: this new detection method solves the disadvantage of traditional detection method, such as the low detection efficiency, the detection precision is not high, the poor detection repeatability, the higher rate of detection miscarriage of justice.

Shape Features Detection Based on Hough Transform in Images

2014 ◽  
Vol 644-650 ◽  
pp. 1104-1106 ◽  
Author(s):  
Guang Li Chu ◽  
Yan Jie Wang
Keyword(s):  
Hough Transform ◽  
Template Matching ◽  
Traditional Method ◽  
Detection Method ◽  
Feature Points ◽  
Shape Features ◽  
Line Segments ◽  
Definition Of ◽  
Straight Lines ◽  
And Storage

Hough transform as an effective graphics target detection method can detect straight lines, circles, ellipses, parabolas and many other analytical graphics. The discretization of space, as well as the calculation of the process make Hough transform have some limitations, such as poor detection results because of high-intensity noise, a large amount of calculation, large demand of storage resources and so on. This paper analyzes the Hough Transform voting process and points out that the accumulation with 1 in the method is unreasonable. The paper proposed a Hough transform based on template matching via the modification of the definition of the traditional method. In this method, each parameter unit identifies a template in image space. The feature points according with the conditions can be searched by the template actively. The method takes the number of feature points as the value of parameter unit and takes the record of the coordinates of line segment endpoints. So line segments can be detected and storage resources can be saved.

Research on the Inspection and Mark on the Defects of Printed Matter Based on Template Matching Algorithm

2015 ◽  
Vol 713-715 ◽  
pp. 377-380
Author(s):  
Shi Yuan Xing ◽  
Yan Qiu Liu ◽  
Yuan Song Zheng
Keyword(s):  
Image Processing ◽  
Template Matching ◽  
High Speed ◽  
Detection Method ◽  
Automatic Detection ◽  
Printing Industry ◽  
Matching Algorithm ◽  
Displacement Error ◽  
Noise Function ◽  
Neighborhood Method

Defects inspection of printed matter that combines the image processing technology with printing principle is a kind of automatic detection method for high speed printing. In view of the displacement error, stains wrinkle, fuzzy words in the current printing industry, this paper has adopted template matching algorithm to compare the standard image and the detected image, followed by the neighborhood method to analyze, then extracted the defects and marked the defect location. This study has good anti-noise function and makes detection precision be controlled within 0.5mm×0.5mm.

Image detection and parameterization for different components in cross-sections of radial tires

2021 ◽  
pp. 095440702110236
Author(s):  
Chen Liu ◽  
Yude Dong ◽  
Yanli Wei ◽  
Jiangtao Wang ◽  
Hongling Li
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Cross Sections ◽  
Digital Image ◽  
Detection Method ◽  
Detection System ◽  
Practical Significance ◽  
Vehicle Safety ◽  
Wire Steel ◽  
Good Detection

The internal structure analysis of radial tires is of great significance to improve vehicle safety and during tire research. In order to perform the digital analysis and detection of the internal composition in radial tire cross-sections, a detection method based on digital image processing was proposed. The research was carried out as follows: (a) the distribution detection and parametric analysis of the bead wire, steel belt, and carcass in the tire section were performed by means of digital image processing, connected domain extraction, and Hough transform; (b) using the angle of location distribution and area relationship, the detection data were optimized through coordinate and quantity relationship constraints; (c) a detection system for tire cross-section components was designed using the MATLAB platform. Our experimental results showed that this method displayed a good detection performance, and important practical significance for the research and manufacture of tires.

Sign in / Sign up

Export Citation Format

Share Document