An image splicing system and method based on an improved SIFT feature point algorithm

Abstract

The application relates to an image splicing system and method based on an improved SIFT algorithm, the system comprising a histogram extraction module, a feature point extraction module, a marking module, a feature point matching module and a fusion module, and the method comprising the following steps: acquiring an image to be spliced and pre-processing the image to be spliced; extracting a corresponding color histogram from the image to be spliced; extracting a plurality of feature points from the image to be spliced and marking the feature points with random values; calculating feature descriptors corresponding to the feature points, correcting the feature descriptors through matching points, and determining mutually matched feature point pairs; performing image fusion and smoothing processing according to the feature point pairs, and outputting a spliced image. Compared with the prior art, the application can reduce the mismatching rate, improve the speed of feature point matching, and thus ensure the efficiency and accuracy of image splicing.

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