Research Article

Research on Color Image Segmentation Based on RS for Intelligent Vehicle Navigation

Aims at the special requirement in speed, accuracy and robustness in vision based Intelligent Vehicle navigation and the computational complexity and difficulty of image processing automatically existing in color image segmentation, a novel method of multi-threshold segmentation based on Rough Set in HSV (Hue,Saturation,Value) for vision based navigation is proposed. First of all, the image is pre-processed in HSV. Secondly, histogram and Advanced Histon Histogram (AHH) are constructed. According to concept of roughness in the theory of Rough Set, the histogram of roughness (RSH) is constructed. Finally, according to requirement of segmentation accuracy, set a threshold H_n on RSH to determine the number and scope of multi-threshold and the image is segmented with above thresholds. The experimental results show that this method can achieve a good segmentation effect.

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Zhang Guo-quan and Li Zhan-ming, 2011. Research on Color Image Segmentation Based on RS for Intelligent Vehicle Navigation. Information Technology Journal, 10: 1432-1436.

DOI: 10.3923/itj.2011.1432.1436

URL: https://scialert.net/abstract/?doi=itj.2011.1432.1436

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Authors

Zhang Guo-quan

Li Zhan-ming

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Research Article

Research on Color Image Segmentation Based on RS for Intelligent Vehicle Navigation

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