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Rapid image mosaic method based on corner matching

A corner point matching and image stitching technology, applied in image enhancement, image data processing, instruments, etc., can solve the problems of low matching accuracy, matching search speed needs to be improved, poor stability, etc., to improve matching speed, The effect of reducing the number of iterations, reducing the time to calculate the correlation

Inactive Publication Date: 2013-01-30
FUZHOU UNIV
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Problems solved by technology

[0004] But there are two deficiencies in the common matching algorithm based on image features: Because the matching algorithm only uses a small part of the image information, the matching result is easily affected by noise, image information distribution and other factors, the matching accuracy is not high, and the stability is not good
Match search speed still needs to be improved

Method used

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  • Rapid image mosaic method based on corner matching

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Embodiment 1

[0068] The concrete steps of the technical solution of the present embodiment are as follows:

[0069] Step1. Construct the adjacent graph corner matching degree matrix. Set the resolution to W*H (width*height) image I First k corners are , whose horizontal coordinates are , the vertical coordinate is , then the corresponding matching points in multiple side-by-side image stitching satisfy the following conditions: matching point y The value deviation is small, generally no more than H / 3 right picture x The value is greater than or equal to the left figure x value Matched point pairs have similar R values The gray correlation of matching point pairs is large. Therefore, according to these constraints, the left graph can be established according to formula (6) of i corner and right of j Matching degree matrix S between corner points.

[0070] (5)

[0071] (6)

[0072] in, For the matching p...

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Abstract

The invention discloses a rapid image mosaic method based on corner matching, relating to the technical field of image mosaic. The rapid image mosaic method comprises the steps of: filtering a large number of uncorrelated corners according to the corner positions of adjacent images and the deviation conditions of a corner response function value, generating an initial corner matching point pair set according to greyscale correlation, and reducing the time of correlation calculation; performing multi-constraint screening on the initial corner matching point pair set, removing false corner point pairs, reducing the iteration number of RANSAC (Random Sample Consensus) algorithm, and increasing matching speed; and choosing a transform parameter with the maximum fusion overlay region similarity in an initial multi-frame sequence matching image as the optimal transform parameter for mosaic, and automatically starting the optimal matching according to the overlay region similarity, so that the matching error brought by the shaking of a camera is effectively solved.

Description

technical field [0001] The invention relates to the technical field of image stitching, in particular to a fast image stitching method based on corner point matching. Background technique [0002] Image mosaic refers to the process of stitching a group of overlapping images into a larger image. There are many image mosaic methods, for example, methods based on the frequency domain and methods based on spatial pixel grayscale, etc. Through analysis, it can be found that the method based on the frequency domain has a faster calculation speed and is suitable for small translations, rotations, and scaled matching. Stitching is good, but the stitching results are poor when there is not much overlap between the two images. However, the method based on spatial pixel grayscale has a large amount of computation, and cannot solve the problem of image matching after image rotation and scaling. [0003] The feature-based method has gradually become the future development direction. Th...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 王伟智刘秉瀚朱敏琛
Owner FUZHOU UNIV