激光与光电子学进展, 2017, 54 (8): 081006, 网络出版: 2017-08-02
一种基于编辑距离的汉代画像石裂缝的检测算法
A Crack Detection Algorithm Based on Editing Distance in Pictorial Carved Stone
图像处理 裂缝标定 形态学 画像石 编辑距离 image processing crack detection morphology pictorial carved stone editing distance
摘要
为了得到更好的画像石裂缝区域的检测结果, 提出了一种基于编辑距离的画像石裂缝的检测算法。将图像分为若干个大小相等的区域;为了将裂缝区域与背景区域区分开, 计算各个区域之间的编辑距离, 生成裂缝掩模图像;利用形态学中的膨胀运算进行掩模图中的空白区域填充;通过为掩模图像设定阈值完成对裂缝区域的标定。实验结果表明, 该算法可以对汉代画像石的裂缝区域进行精确检测。
Abstract
In order to get a better detection result of crack regions on pictorial stone, a crack detection algorithm based on editing distance is proposed. The pictorial carved stone image is separated into many patches with identical sizes. For separating the crack regions from the background, the editing distances between each patch are calculated and the mask image is generated simultaneously. The blank area on mask image is filled by dilation operation which belongs to morphology. The crack detection is finished by setting a threshold to the mask image. Experimental results show that this algorithm can detect the crack regions on pictorial carved stone accurately.
许君扬, 王慧琴, 吴萌, 景亚鹂. 一种基于编辑距离的汉代画像石裂缝的检测算法[J]. 激光与光电子学进展, 2017, 54(8): 081006. Xu Junyang, Wang Huiqin, Wu Meng, Jing Yali. A Crack Detection Algorithm Based on Editing Distance in Pictorial Carved Stone[J]. Laser & Optoelectronics Progress, 2017, 54(8): 081006.