关键词: 图像增强, 直方图均衡化, 局部直方图均衡化, 有限对比适应性直方图均等化

Abstract: Because of the characteristics of the container itself and the error of X-ray machine, the container X-ray images have lots of strong noise. In order to improve the region of interest and inhibit the region of uninterested in, an improved method based on contrast limited adaptive histogram equalization was introduced in the paper. Firstly，the X-ray images were enhanced by using a method of contrast limited adaptive histogram equalization, and then a method of median filter was applied to the processed image in order to reduce the noise, in order to get the low-frequency information of the X-ray images. Secondly, the relatively high-frequency information of the original image was got by Laplacian filter. Finally, the weighted sum of the previous two processed images was the goal image. Experimental results show that the method can largely reduce the strong noise, and preserve the image information interested in better, and help the study of container X-ray image.

Key words: image enhancement, histogram equalization, local histogram equalization, contrast limited adaptive histogram equalization