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Information Technology Journal
  Year: 2011 | Volume: 10 | Issue: 7 | Page No.: 1432-1436
DOI: 10.3923/itj.2011.1432.1436
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Research on Color Image Segmentation Based on RS for Intelligent Vehicle Navigation

Zhang Guo-quan and Li Zhan-ming

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 Hn 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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  •    Median and Laplacian Filters based Feature Analysis for Content Based Image Retrieval Using Color Histogram Refinement Method
  •    Flexible Navigation Strategies by Predicting Human Motion Tendency
  •    A New Motion Segmentation Method for Dynamic Scenes
  •    Full 3D Compact Histogram Segmentation of Color Images
  •    Identification of Sugarcane Nodes Using Image Processing and Machine Vision Technology
  •    Inducing Positive and Negative Rules Based on Rough Set
  •    Robust Omnidirectional Vision based Mobile Robot Hierarchical Localization and Autonomous Navigation
How to cite this article:

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






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