Fuzzy color recognition and segmentation of robot vision scene
Cui Liu, Lianming Wang
- Year
- 2015
- Citations
- 6
Abstract
The method of fuzzy color recognition and segmentation of vision scene of robot based on the combination of fuzzy color quantization and edge extraction of HSV (hue saturation value) color space was proposed in the article. In the method the color would be quickly recognized fuzzily as less than ten natural standard colors according to human visual perception and the recognized image will be edge extracted. Integrating with color and edge information, the area segmentation will be conducted to the image, realizing color fuzzy recognition and segmentation and setting up color index map. As the experimental results and the subjective perception of human have reached good consistency, it improves color recognition speed and perception speed of the environment of the robot.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002