一种改进的边缘检测算法及其在古陶瓷裂纹修复中的应用  

An Improved Edge Detection Algorithm and Its Application in Repair of Ancient Ceramic Crack

作　　者：柳炳祥 胡世国 LIU Bingxiang;HU Shiguo(School of Information Engineering, Jingdezhen Ceramic Institute, Jingdezhen 333403, Jiangxi, China)

机构地区：[1]景德镇陶瓷大学,江西景德镇333403

出　　处：《陶瓷学报》2016年第4期423-426,共4页Journal of Ceramics

基　　金：国家自然科学基金项目(61202313);江西省自然科学基金项目(20122BAB201044)

摘　　要：边缘检测算法是图像处理中一个重要环节,该算法的好坏直接影响图像处理结果。常用的检测算法其检测效果往往不是很理想,为了达到检测要求及效果,必须对检测算法进行改进。本文通过聚类算法对边缘检测算法进行改进,并应用在古陶瓷裂纹修复领域。实验结果表明,改进后的算法与原算法进行对比,检测效果有了明显的提高。Edge detection algorithm is an important part in image processing. The algorithm has a direct impact on the image processing results. The commonly used detection algorithm does not often have an ideal effect. In order to meet the testing requirements and results, it is necessary to improve the algorithm. In this paper, the digital image edge detection algorithm is improved by using the clustering algorithm.The improved solution is then applied to the repair of ancient ceramic cracks. The eexperimental comparison of the improved algorithm with the original shows that the improved algorithm has an obviously better detection result.

关 键 词：边缘检测 陶瓷修复 聚类算法 

分 类 号：K878.9[历史地理—考古学及博物馆学]