欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
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。
英文摘要：
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.
同期刊论文项目
同项目期刊论文
Prediction of CO2 solubility in polymers by radial basis function Artificial Neural Network based on
Prediction of the Gas Solubility in Polymers by a Radial Basis Function Neural network Based on Chao
期刊信息
位置：