摘要
It is hard to treat the underwater weld seam images for the reason of bad brightness, low contrast and less welding seam information, so a new enhancement algorithm is proposed here. Firstly, the high frequency component was separated by Gaussian filter from origin image, and then it is processed by improved local contrast enhancement(LCE) algorithm to enhance the edge information. Secondly, the gamma transform with adaptive parameters was used to strengthen the image brightness, furthermore, contrast limited adaptive histogram equalization(CLAHE) algorithm was applied to enhance the image contrast. Finally, the two manipulated images were integrated together to obtain the desired image. Experiments on typical images were carried out, and evaluation results showed that this designed algorithm can effectively improve image contrast, highlight welding seam information. Moreover, the image average grey value was moderate, and the information entropy and average gradient were much higher than other algorithms.
作者
叶建雄
刘承林
张志伟
彭星玲
Ye Jianxiong;Liu Chenglin;Zhang Zhiwei;Peng Xingling(Zhejiang Institute of Mechanical&Electrical Engineering,Hangzhou 310053,China;Nanchang Institute of Technology,Nanchang 330029,China)
基金
Project was supported by the National Science Foundation of China(Grant No.51665016)。
