Laser & Optoelectronics Progress, Volume. 57, Issue 6, 061016(2020)

Local Threshold Segmentation Method Based on Multi-Direction Grayscale Wave for Image

Zhengping Wu**, Zhanwen Ma*, Hua Yan, Zhaomeng Zhang, and Fan Yin
Author Affiliations
  • College of Electrical Engineering & Renewable Energy, China Three Gorges University, Yichang, Hubei 201306, China
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    Aim

    ing at the industrial images with uneven illumination interference, a local threshold segmentation method based on multi-direction grayscale wave for image is proposed in this paper. First, the image is pretreated with mean filtering. Then, one-dimensional grayscale wave curves are extracted in four-direction of horizontal, vertical, left diagonal and right diagonal. Meanwhile, one-dimension local threshold segmentation is carried out for wave peaks and troughs which satisfy the threshold condition of wave amplitude on each curve. Finally, an and operation is processed for segmented sub-images, the final segmented image is obtained. The experimental results show that this method can effectively improve the segmentation accuracy of images with uneven illumination. Compared with two-dimensional Otsu, two-dimensional Tsallis and Niblack methods, the segmentation effect of the proposed method is significantly improved.

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    Zhengping Wu, Zhanwen Ma, Hua Yan, Zhaomeng Zhang, Fan Yin. Local Threshold Segmentation Method Based on Multi-Direction Grayscale Wave for Image[J]. Laser & Optoelectronics Progress, 2020, 57(6): 061016

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    Paper Information

    Category: Image Processing

    Received: Jul. 31, 2019

    Accepted: Sep. 2, 2019

    Published Online: Mar. 6, 2020

    The Author Email: Wu Zhengping (411903566@qq.com), Ma Zhanwen (1210480369@qq.com)

    DOI:10.3788/LOP57.061016

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