Study on Mechanical Automation with Localization for Mobile Robot Based on Color Tag

2013 ◽  
Vol 703 ◽  
pp. 244-248
Author(s):  
Shan Hu ◽  
Li Guo Tian ◽  
Meng Li ◽  
Xing Li Wu
Keyword(s):  
Image Processing ◽  
Mobile Robot ◽  
Real Time ◽  
Difficult Problem ◽  
Processing Method ◽  
Development Platform ◽  
Real Time Image ◽  
Color Identification ◽  
Robot Position ◽  
Time Image

Mechanical Automation is playing an important role in all fields. In the detecting system of robot position, how to increase the robustness of color identification is a difficult problem. To solve this problem, a real-time image processing method based on color training is put forward adopting the development platform of the completely independent robot, which is applied in a kind of detecting system at partial structured environments .The method has been already applied well in the visual detecting system of mobile robot.

Implementation of the Fast Median Filtering Algorithm Based on FPGA

2014 ◽  
Vol 513-517 ◽  
pp. 1055-1058
Author(s):  
Jin Lun Li ◽  
Shao Hui Cui ◽  
Ku Nao Guo
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Processing System ◽  
Difficult Problem ◽  
Median Filtering ◽  
Filtering Algorithm ◽  
Functional Simulation ◽  
Real Time Image ◽  
Embedded Image ◽  
Time Image

Real-time image processing has been a difficult problem in embedded image processing system. The traditional MCU could not meet the real-time demand when large volume of data awaited to be proceed. FPGA is an effective driver to achieve real-time parallel processing of data. The implementation rationale and the design of module have been given in this article; and the Hard Software has been truly achieved. At the end of the article, the simulation waveform graph has been obtained by processing functional simulation on algorithm module by using Modelsim software; and the simulation result shows that this design is able to proper functioning and has good application prospects.

A Real-Time Image Processing Method for Multi-Beam Forward-Looking Sonar of AUV

2015 ◽  
Vol 713-715 ◽  
pp. 2101-2105
Author(s):  
Lei Gao ◽  
Hong Li Xu
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Obstacle Avoidance ◽  
Fuzzy Clustering ◽  
Processing Method ◽  
Image Processing Method ◽  
Real Time Image Processing ◽  
Real Time Image ◽  
Time Image ◽  
Forward Looking

The key of real-time obstacle avoidance for AUV is to accurately and fast identify underwater obstacle. In this paper, according to the characteristics of the multi-beam forward-looking sonar of AUV, we extracted the obstacle information from sonar image with the image filtering, fuzzy clustering and morphological methods. Finally, it can be proved that the real-time image processing method is feasible and effective by the lake trial.

scholarly journals Automatic Surface Inspection System for Hot Rolled Slabs by Real Time Image Processing Method

1984 ◽  
Vol 70 (9) ◽  
pp. 1194-1201 ◽  
Author(s):  
Masayoshi IWASAKI ◽  
Yasuhide NAKAI ◽  
Yoshiro NISHIMOTO ◽  
Kunio TSUJI ◽  
Isamu HIROSE ◽  
...  
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Processing Method ◽  
Inspection System ◽  
Surface Inspection ◽  
Image Processing Method ◽  
Real Time Image Processing ◽  
Real Time Image ◽  
Hot Rolled ◽  
Time Image
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