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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.