Penetrating Depth of Contact Group Extraction Algorithm for Switch Machine Based on Image Processing

2021 ◽  
Vol 11 (12) ◽  
pp. 2872-2889
Author(s):  
晨威 杨
Keyword(s):  
Image Processing ◽  
Contact Group ◽  
Extraction Algorithm

Phase extraction algorithm considering high-order harmonics in fringe image processing

2015 ◽  
Vol 54 (16) ◽  
pp. 4989 ◽  
Author(s):  
Keming Zhang ◽  
Jun Yao ◽  
Jubing Chen ◽  
Hong Miao
Keyword(s):  
Image Processing ◽  
High Order ◽  
Phase Extraction ◽  
Extraction Algorithm

scholarly journals Three-dimensional mechanical parts reconstruction technology based on two-dimensional image

2020 ◽  
Vol 17 (2) ◽  
pp. 172988142091000
Author(s):  
Jiaofei Huo ◽  
Xiaomo Yu
Keyword(s):  
Image Processing ◽  
Stereo Vision ◽  
Stereo Matching ◽  
Vision System ◽  
Three Dimensional ◽  
Three Dimensional Reconstruction ◽  
Stereo Vision System ◽  
Binocular Stereo Vision ◽  
Extraction Algorithm ◽  
Dimensional Reconstruction

With the development of computer technology and three-dimensional reconstruction technology, three-dimensional reconstruction based on visual images has become one of the research hotspots in computer graphics. Three-dimensional reconstruction based on visual image can be divided into three-dimensional reconstruction based on single photo and video. As an indirect three-dimensional modeling technology, this method is widely used in the fields of film and television production, cultural relics restoration, mechanical manufacturing, and medical health. This article studies and designs a stereo vision system based on two-dimensional image modeling technology. The system can be divided into image processing, camera calibration, stereo matching, three-dimensional point reconstruction, and model reconstruction. In the part of image processing, common image processing methods, feature point extraction algorithm, and edge extraction algorithm are studied. On this basis, interactive local corner extraction algorithm and interactive local edge detection algorithm are proposed. It is found that the Harris algorithm can effectively remove the features of less information and easy to generate clustering phenomenon. At the same time, the method of limit constraints is used to match the feature points extracted from the image. This method has high matching accuracy and short time. The experimental research has achieved good matching results. Using the platform of binocular stereo vision system, each step in the process of three-dimensional reconstruction has achieved high accuracy, thus achieving the three-dimensional reconstruction of the target object. Finally, based on the research of three-dimensional reconstruction of mechanical parts and the designed binocular stereo vision system platform, the experimental results of edge detection, camera calibration, stereo matching, and three-dimensional model reconstruction in the process of three-dimensional reconstruction are obtained, and the full text is summarized, analyzed, and prospected.

A Cellular-Automaton-Type Region Extraction Algorithm and its FPGA Implementation

2005 ◽  
Vol 17 (4) ◽  
pp. 378-386 ◽  
Author(s):  
Teppei Nakano ◽  
◽  
Takashi Morie ◽  
Makoto Nagata ◽  
Atsushi Iwata ◽  
...  
Keyword(s):  
Image Processing ◽  
Cellular Automaton ◽  
Parallel Operation ◽  
Clock Frequency ◽  
Verilog Hdl ◽  
Logic Simulation ◽  
Type Region ◽  
Extraction Algorithm ◽  
Region Extraction ◽  
Pixel Image

This paper proposes a new region extraction algorithm and its digital LSI architecture based on cellular-automaton operation for very fast image processing. The algorithm sequentially extracts each region defined by a closed boundary. From digital logic simulation using Verilog-HDL, the proposed circuit with pixel-parallel operation can operate 100 times faster than serial labeling for a 100×100-pixel image. We implemented the proposed circuit in an FPGA for 30×30-pixel image processing. In an experiment with the FPGA, five regions are successfully extracted one by one within 6μs at a clock frequency of 25MHz.

Study of Extraction Algorithm for Image Processing in Vertical GMA Welding

2018 ◽  
Vol 27 (4) ◽  
pp. 363-370
Author(s):  
Chang-Gon Kim ◽  
Min-Ho Park ◽  
Joon-Sik Son ◽  
Tae-Jong Yun ◽  
Ill-Soo Kim
Keyword(s):  
Image Processing ◽  
Gma Welding ◽  
Extraction Algorithm

The Real Time System of Hair Detection in Mushroom Based on Computer Vision

2012 ◽  
Vol 588-589 ◽  
pp. 1199-1203
Author(s):  
Tong Qiang Li ◽  
Cai Feng Zheng ◽  
Jian Peng Gan
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Real Time ◽  
Detection System ◽  
Contour Detection ◽  
Time System ◽  
Real Time System ◽  
Extraction Algorithm ◽  
Structure Extraction ◽  
Line Direction

By analysing the Mushroom image, the paper puts forward a kind of line-structure extraction algorithm combination of local gray value and continuity of line direction .After the operations in many aspects of basis image processing, such as gray-scale, denoising , segmentation, contour detection and morphological, this article has developed a set of hair detection system based on computer vision for the Mushroom. The experimental results show this system could well meet the actual needs, and has a broad market prospect.

Fast Line Extraction Algorithm Based on Improved Hough Transformation

2014 ◽  
Vol 926-930 ◽  
pp. 3612-3615
Author(s):  
Chun Fang Wang
Keyword(s):  
Image Processing ◽  
Machine Vision ◽  
Hough Transform ◽  
Computational Cost ◽  
Automatic Recognition ◽  
Storage Space ◽  
Important Work ◽  
Local Maxima ◽  
Line Extraction ◽  
Extraction Algorithm

Automatic recognition of the line in the image is an important work in the field of machine vision and image processing. Focusing on the problem of the computational cost and large invalid sampling in the line extraction algorithm using standard Hough transform (HT). An improved HT algorithm is proposed to solve these problems. The parameters of the improved algorithm can be reduced to one and the accumulator is operated by setting the tolerance. Then the existence of linear is determined by seting the threshold. The experimental results show that the algorithm not only can effectively solve the problem of local maxima and improves the algorithm speed and reduces the storage space,but also the accuracy of line extraction is improved.

scholarly journals Analysis of Extraction Algorithm for Visual Navigation of Farm Robots Based on Dark Primary Colors

2021 ◽  
Vol 12 (2) ◽  
pp. 61-72
Author(s):  
Jin Wang ◽  
Yifei Cui ◽  
Hao Wang ◽  
Mohammad Ikbal ◽  
Mohammad Usama
Keyword(s):  
Image Processing ◽  
Least Square Method ◽  
Visual Navigation ◽  
Least Square ◽  
Gray Scale ◽  
Vertical Projection ◽  
Primary Color ◽  
Scale Method ◽  
Line Image ◽  
Extraction Algorithm

In order to quickly extract the visual navigation line of farmland robot, an extraction algorithm for dark primary agricultural machinery is proposed. The application of dark primary color principle in new farmland is made clearer by gray scale method, and the soil and crops are obviously separated, and the image processing technology of visual navigation line image of farmland is realized. In binary filtering of gray scale images, the maximum interclass variance method and morphological method are used respectively. The researchers use vertical projection method and least square method to the farmland interval extracted by navigation line. The farmland that needs the guide line image will be accurately located. It is found that the visual navigation extraction algorithm of farmland robot is widely used in the image extraction of navigation lines of various farmland roads and scenes compared with the traditional gray scale algorithm. Image processing has the advantages of clearer image processing.

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