Fast Image Stitching Method Based on Corner Matching
A technology of corner point matching and image stitching, which is applied in image enhancement, image data processing, instruments, etc., can solve problems such as large amount of algorithm calculation, poor stability, and high dependence on feature point accuracy and stability
Inactive Publication Date: 2015-09-09
FUZHOU UNIV
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[0004] However, there are two deficiencies in the common matching algorithm based on image features: ① Since the matching algorithm only uses a small part of the information of the image, the matching result is easily affected by factors such as noise and image information distribution, and the matching accuracy is not good. high, poor stability
And if the overlapping area of the two images in the stitched image is not large, the accuracy and stability of the feature points are highly dependent
②Most feature point matching algorithms use the template correlation method for ergodic matching search, and the calculation amount of the algorithm is still too large
Match search speed still needs to be improved
Method used
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Embodiment 1
[0075] The concrete steps of the technical solution of the present embodiment are as follows:
[0076] Step1. Construct the adjacent graph corner matching degree matrix. Let the kth corner point of the image I whose resolution is W×H (width×height) be I k , whose horizontal coordinate is I k .x, the vertical coordinate is I k .y, then the matching points in multiple side-by-side image stitching meet the following conditions: ① The deviation of the y value of the matching point pair is small, generally not exceeding H / 3 ② The x value of the left image is greater than or equal to the x value of the right image ③ The R value of the matching point pair Similar to ④ The gray correlation of matching point pairs is large. Therefore, according to these constraints, the left graph I can be established according to formula (6) l i corner point and the right figure I r The matching degree matrix S between j corner points.
[0077] (a) | I ...
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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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IPC IPC(8): G06T5/00
Inventor 王伟智刘秉瀚朱敏琛
Owner FUZHOU UNIV