Acta Optica Sinica, Volume. 36, Issue 12, 1215004(2016)

Road and Navigation Line Detection Algorithm from Shadow Image Based on the Illumination Invariant Image

Duan Zhigang1,2、*, Li Yong1,3, Wang Ende1, Tian Jiandong1, and Tang Yandong1
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  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    For extracting the road and navigation line under the shadow environment, a road and visual navigation line extraction algorithm is proposed based on illumination invariant image segmentation and vote functions. The color illumination invariant image is acquired with orthogonal decomposition method. After the image segmentation, the road region is extracted through the structure of the vote function and road criterion. The navigation line is detected by scanning path location and the least squares fitting. The proposed method does not require a large number of samples to learn. Experimental results show that, compared with two existing algorithms, the proposed algorithm has obvious advantages in detection accuracy, speed and complexity, it can effectively solve the road and navigation line extraction under the shadow environment.

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    Duan Zhigang, Li Yong, Wang Ende, Tian Jiandong, Tang Yandong. Road and Navigation Line Detection Algorithm from Shadow Image Based on the Illumination Invariant Image[J]. Acta Optica Sinica, 2016, 36(12): 1215004

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    Paper Information

    Category: Machine Vision

    Received: Jun. 28, 2016

    Accepted: --

    Published Online: Dec. 14, 2016

    The Author Email: Zhigang Duan (duanzhigang@sia.cn)

    DOI:10.3788/aos201636.1215004

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