Industrial X-Ray Image Enhancement Algorithm based on Adaptive Histogram and Wavelet

摘要：

In this paper, we an industrial X-ray image enhance algorithm based on histogram and wavelet is proposed in this paper. The proposed technique is able to cope with low contrast and poor feature details. Firstly, the original image is divided patched by the contrast limited adaptive histogram equalization algorithm in order to adjust whole contrast. Then a map is built between the image and the detail scales by the wavelet ratio in order to adjusting the local contrast. Finally, according the enhance function radios, the reconstruct image is rebuild. Compared with other image enhancement algorithms, experimental results show that our algorithm can improve the global image contrast effectively as well as overcome the these visible artifacts of X-ray image, the x-ray image become more clear, and a better perceptual image is acquired for the image feature recognize and matching.

关键词： X-ray Wavelet Adaptive Image Enhancement

作者: Li Jin Wang Yan Wei Wang Lei Wei Jie Wang Da Da

作者单位: Automation College,Harbin Engineering University Harbin,China Automation College,Harbin Engineering University Harbin,China Huarui College,Northeast Petroleum Uni Yunan power test institute (group) Ltd,Kunming,China,

会议类型: 国际会议

会议名称: The 6th International Forum on Strategic Technology(IFOST 2011)(第六届国际战略技术论坛)

会议地点: 哈尔滨

会议语种:英文

页码: 836-839

在线出版日期: 2011-08-22（万方平台首次上网日期，不代表论文的发表时间）