Research on the Color-difference Detection Algorithm of the Image with Random Texture[J]. Optics and precision engineering, 2009, 17(8): 1999-2003.DOI:
In order to solve the problem that detecting color-difference of the image with random texture in the actual production environment
based on the research and analysis results both at home and abroad
a color-difference detection algorithm based on the CIELAB color space is proposed in this paper. The algorithm is described in this paper. First
the number of cluster is calculated in the HSV color space. Then the initial cluster center is determined in the CIELAB color space. Finally
the color-difference is detected with fuzzy C-Means clustering. Take the pebble tiles for an example
some experiments in the environment of light
dust and vibration are done in this paper. The experimental results show that color-difference detection algorithm is consistent to the human eye and has anti-interference capability. The test result of color-difference detection algorithm isn’t affected by the dust and vibration interference. The color-difference value is less than 1.5. It is affected by the light interference. The color-difference value is greater than 1.5. So the stability of light power should be reasonable control in the practical application. The algorithm can be used to detect surface color of other random texture.