• Laser & Optoelectronics Progress
  • Vol. 57, Issue 6, 061016 (2020)
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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    DOI: 10.3788/LOP57.061016 Cite this Article Set citation alerts
    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 Copy Citation Text show less

    Abstract

    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.

    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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