The Application and Prospects of SOPC Technology in Image-Processing

2014 ◽  
Vol 644-650 ◽  
pp. 4048-4051
Author(s):  
Fu Yang ◽  
Wen Ming Zhang ◽  
Wan Cai Jiao
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Processing Technology ◽  
Image Processing Algorithm ◽  
Real Time Image Processing ◽  
Image Processing Technology ◽  
Real Time Image ◽  
Fpga Chip ◽  
Working Frequency ◽  
Time Image

The real-time image-processing by SOPC technology on the hardware is the new direction of the image-processing technology. FPGA is the core component of the image-processing based on SOPC technology. The principles and characteristics of SOPC technology and the commonly image-processing algorithm are introduced in the first part. Then the traditional DSP image-processing technology is compared with the image-processing technology using FPGA chip embedding with the Nios II soft-core processor. As a result, a conclusion that the usage of the SOPC technology can increase the speed and working frequency of image-processing is derived. At last, the application status of SOPC technology used in image-processing is introduced. It can be concluded that the SOPC technology in real-time image-processing have the broad application prospect.

scholarly journals Real-time Fuzzy Image Processing Method for Visual feedback of a Follower Robot

2020 ◽  
Vol 19 ◽  
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Visual Feedback ◽  
Fuzzy Controller ◽  
Feedback System ◽  
Image Processing Algorithm ◽  
Real Time Image Processing ◽  
Real Time Image ◽  
Processing Techniques ◽  
Time Image

In this paper, an adaptive visual feedback system and controller has been designed and implemented in real-time to control the movements of a line follower robot to be smoother and faster. The robot consists of a couple of motorized wheels, the real-time controller and a CMOS camera as the only sensor for detecting line and feedback. The measurement based on real-time image processing and motor drive feedback used in this robot makes it robust to the obstacles and surface disturbances that may deviate robot. The image processing algorithm is adaptive to the line’s color and width too. Image processing techniques have been implemented in real-time to detect the line in the image frame and extract the necessary information (like line’s edge, coordinates and angle). A NI myRIO module is used as a stand-alone hardware unit and RT (Real-Time) target for implementation of controllers and image processing in LabVIEW environment. Both results of real-time and non-real-time implementation of controllers have been compared. To show the performance of real-time image processing in the control of this robot, three types of controllers (i.e. P, PI and Fuzzy controllers) have been implemented for line following tests and the results have been compared. At the end, it was found that the fuzzy controller controls the robot movements smoother, faster, with less errors and quicker response time compare to the other controllers

Sign in / Sign up

Export Citation Format

Share Document