关键词: 图像拼接, 图像增强, SURF算法

Abstract: In order to monitor the production of underground in real-time through image acquisition technology, underground image stitching algorithm based on image enhancement is proposed. This paper uses the local bilateral filtering algorithm to enhance image, reuses approximate Hessian matrix and frame-like filtering to determine the position of the feature points, and then calculates the descriptor vector of feature point, using match method of ratio of the closest distance and the next closest distance to match feature points and eliminate error matching by RANSAC algorithm, and finally makes use of the feature points to get the transformation matrix of calculation, uses the method of a linear gradient fusion to realize image fusion. The experiments verify the effect of enhancement algorithm and prove that combining this algorithm with SURF can improve the efficiency of image mosaic by the number of feature points extracted from original image and enhanced image. This is helpful to improve the accuracy of matching and the quickness of splicing.

Key words: image mosaic, image enhancement, Speeded Up Robust Features（SURF）