基于图像的多方向灰度波动局部阈值分割方法 下载: 1047次
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.
吴正平, 马占稳, 颜华, 张兆蒙, 尹凡. 基于图像的多方向灰度波动局部阈值分割方法[J]. 激光与光电子学进展, 2020, 57(6): 061016. 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.