• Semiconductor Optoelectronics
  • Vol. 42, Issue 1, 132 (2021)
GUO Guanzheng1,2, LIAO Qinkai1,2, LIN Zhixian1,2,3,*, LIN Shanling2,3, and GUO Tailiang1,2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    DOI: 10.16818/j.issn1001-5868.2021.01.024 Cite this Article
    GUO Guanzheng, LIAO Qinkai, LIN Zhixian, LIN Shanling, GUO Tailiang. An Improved Otsu Object Detection Method Based on Grayscale Preference Weighted[J]. Semiconductor Optoelectronics, 2021, 42(1): 132 Copy Citation Text show less

    Abstract

    By introducing grayscale preference parameters and gradient valley coefficients, an improved grayscale preference valley emphasis (GPVE) method is proposed. The grayscale preference parameter makes the threshold show a tendency to approach the object gradation, and the gradient valley coefficient makes the threshold closer to the valley. GPVE method can achieve an ideal threshold when the histogram is unimodal and bimodal. The experimental results show that the average segmentation error ME value obtained by Otsu, VE, NVE, WOV and other methods is above 0.2, while the ME value of the proposed method is only 0.007. Thus the proposed GPVE method improves the accuracy of image segmentation and realizes a better segmentation effect.
    GUO Guanzheng, LIAO Qinkai, LIN Zhixian, LIN Shanling, GUO Tailiang. An Improved Otsu Object Detection Method Based on Grayscale Preference Weighted[J]. Semiconductor Optoelectronics, 2021, 42(1): 132
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