Research on Automatic Docking Location Method Based on Machine Vision

2013 ◽  
Vol 475-476 ◽  
pp. 405-408
Author(s):  
Gui Jun Yu ◽  
De Cai Lv
Keyword(s):  
Machine Vision ◽  
Edge Detection ◽  
Processing Speed ◽  
Detection Algorithm ◽  
Key Technology ◽  
Detection Technology ◽  
Key Factor ◽  
Automatic Docking ◽  
Sobel Edge Detection ◽  
Automatic Positioning

For many applications requiring automatic positioning docking, we often use machine vision to guide automatic docking location. The key technology of automatic positioning system based on machine vision is edge detection technology of docking interface; the algorithm is the key factor to decide the success or failure of the system. In this paper, the elliptic edge detection as an example, introduces the application and experiment using Sobel edge detection algorithm in positioning aspect. The experimental results show that the method has high precision for oval edge detection, can assist machine to carry out automatic docking location, and has shorter time of image processing, it is beneficial to improve the processing speed of docking.

scholarly journals Hardware Implementation of Sobel Edge Detection Algorithm

2020 ◽  
Vol 32 ◽  
pp. 03051
Author(s):  
Ankita Pujare ◽  
Priyanka Sawant ◽  
Hema Sharma ◽  
Khushboo Pichhode
Keyword(s):  
Image Processing ◽  
Edge Detection ◽  
Feature Detection ◽  
Hardware Implementation ◽  
Software Tool ◽  
Detection Algorithm ◽  
Edge Detection Algorithm ◽  
Detection Algorithms ◽  
Sobel Edge Detection ◽  
Image Edges

In the fields of image processing, feature detection, the edge detection is an important aspect. For detection of sharp changes in the properties of an image, edges are recognized as important factors which provides more information or data regarding the analysis of an image. In this work coding of various edge detection algorithms such as Sobel, Canny, etc. have been done on the MATLAB software, also this work is implemented on the FPGA Nexys 4 DDR board. The results are then displayed on a VGA screen. The implementation of this work using Verilog language of FPGA has been executed on Vivado 18.2 software tool.

scholarly journals Enhancement of digital chest images using a modified Sobel edge detection algorithm

2021 ◽  
Vol 24 (3) ◽  
pp. 1718
Author(s):  
Archana J. N. ◽  
Aishwarya P. ◽  
Hanson Joseph
Keyword(s):  
Edge Detection ◽  
Detection Algorithm ◽  
Interstitial Lung Diseases ◽  
Internal Organs ◽  
Edge Detection Algorithm ◽  
Sobel Operator ◽  
Digital Chest ◽  
Sobel Edge Detection ◽  
The Laplace Operator ◽  
Lung Ct

Computed tomography (CT) images are an essential factor in the diagnosing procedure for various diseases affecting the internal organs. Edge detection can be used for the appropriate enhancement of the lung CT scan images for the diagnosis of the various interstitial lung diseases (ILD). In order to solve the issues of edge detection provided by the traditional Sobel operator, the paper proposes a Sobel 12D edge detection algorithm which uses the additional direction templates for the better identification of the edge details. First, the vertical and horizontal directions available in the traditional Sobel operator are extended to few more directions (a total of 12 directions) which enhances the edge extraction ability. Next part, compute the edge detected image using the Sobel 12D, Laplace, Prewitt, Robert’s Cross and Scharr operators for edge detection separately. It is followed by image fusion method which optimizes the edge detection by combining the edge detected images obtained using the Sobel 12D approach and the Laplace operator. The experimental results shows that the proposed algorithms generates a better detection of the edges than the other edge detection operators.

The Research of Real-Time Image Acquisition and Sobel Edge Detection with FPGA

2011 ◽  
Vol 467-469 ◽  
pp. 703-708
Author(s):  
Yang Xu ◽  
Ping Li ◽  
Jian Jun Yuan ◽  
Min Xiang
Keyword(s):  
Edge Detection ◽  
Real Time ◽  
High Speed ◽  
Design Method ◽  
Image Acquisition ◽  
Detection Algorithm ◽  
The Real ◽  
Real Time Image ◽  
Sobel Edge Detection ◽  
Time Image

As the real-time image acquiring and processing need to be dealt with high speed, a image acquisition and preprocessing system is discussed in this paper. It is built on FPGA( field programmable gate array ) with pipelined and parallel technology. The configurable macro function modules provided by Altera company achieve the Sobel edge detection algorithm. The real-time display the image after edge detection works properly and The new design method shorten the development cycle.

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