Image inking and fusing method and system based on histogram feature point registration

Abstract

The invention discloses an image inking and fusing method and system based on histogram feature point registration. The method comprises the following steps: according to image brightness histogram characteristics, extracting histogram extremum points, and adopting one-dimensional Gaussian to smoothly inhibit the local noise points of a brightness histogram; meanwhile, constructing matching relationship among the histogram extremum points in a way that a matching cost function is used to eliminate a matching matrix M; and taking the matched histogram extremum points as histogram characteristic points. The histogram characteristic points are utilized, and image brightness is corrected by adopting the corresponding brightness values of the histogram characteristic points of an image overlapping region. The image which exhibits a big visual angle and big close-range chromatic aberration can be subjected to hue difference processing, hue differences of a plurality of image overlapping regions and non-overlapping regions can be automatically eliminated, and effects of local zone hue balance of the image and the integral hue balance of a panorama image of spliced streetscape can be achieved.

Description

technical field [0001] The invention relates to the field of computer vision and pattern recognition, in particular to an image color uniformity and fusion method and system based on histogram feature point registration. Background technique [0002] Image color uniformity and fusion methods are one of the important research topics in computer vision and pattern recognition in image processing. In recent years, with the rapid development of street view products, panoramic image color uniformity and fusion technology has been widely used. In the process of stitching panoramic images, it is not only necessary to handle the geometric relationship between adjacent images, but also to ensure that the overall brightness of the stitched panoramic images is consistent, and the brightness transition between images is uniform. Therefore, the study of color uniformity and fusion methods between images is of great significance to the results of panoramic image stitching and its applica...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the problem of inconsistency in the brightness of existing image mosaic images, the present invention provides an image color uniformity and fusion method and system based on histogram feature point registration, which can effectively improve the color uniformity and fusion effect of image mosaic, and is suitable for imaging with large viewing angles. Color uniformity and fusion of images with small overlap

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