激光与光电子学进展, 2020, 57 (6): 061016, 网络出版: 2020-03-06   

基于图像的多方向灰度波动局部阈值分割方法 下载: 1047次

Local Threshold Segmentation Method Based on Multi-Direction Grayscale Wave for Image
作者单位
三峡大学电气与新能源学院, 湖北 宜昌 201306
摘要
针对存在光照不均匀干扰的工业图像,提出了一种基于图像的多方向灰度波动局部阈值分割方法。先对图像进行均值滤波预处理;然后提取水平、垂直和左右对角线四个方向上的一维灰度波动曲线,并对每条曲线上满足波动幅度阈值条件的波峰和波谷进行一维局部阈值分割;最后将分割后的子图像进行与操作,得到最终分割图像。实验结果表明,该方法能够有效提高对光照不均匀图像分割的准确性,与二维Otsu、二维Tsallis和Niblack算法相比分割效果有显著提升。
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.

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.

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