Image mosaicking method

An image mosaic and image technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of inaccurate combination of spatial features, large amount of calculation, poor anti-noise ability, etc., achieve soft transition, wide adaptability, Spatial features combined with precise effects

Active Publication Date: 2018-03-06
中电科新型智慧城市研究院有限公司
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  • Application Information

AI Technical Summary

Problems solved by technology

The latter includes feathering-based fusion, gradient-based fusion, and pyramid fusion, etc., which are characterized by soft

Method used

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Embodiment Construction

[0033] The invention proposes an image splicing method.

[0034] refer to figure 1 , figure 1 It is a flow chart of an embodiment of the image mosaic method of the present invention.

[0035] Such as figure 1 As shown, in the embodiment of the present invention, the image stitching method includes the following steps:

[0036] S10. Detect the corner points of the two images to be spliced ​​by a checkerboard calibration method, calculate the radial distortion coefficient of the lens, and perform distortion correction on the two images to be spliced ​​according to the radial distortion coefficient.

[0037] Specifically, in step S10, the calculation process of the radial distortion coefficient of the lens is as follows:

[0038] S11, making a checkerboard;

[0039] S12, using the lens to be orthodontic, collecting several checkerboard images from different angles;

[0040] S13, detecting checkerboard corners in the image;

[0041] S14, calculating five internal paramet...

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Abstract

The present invention discloses an image mosaicking method. The method comprises the steps of: performing distortion correction of an image to be mosaicked according to a radial distortion coefficientof a lens; calculating an affine transformation matrix to perform image registration by identifying mark points; generating a fusion seam by employing a region growing method based on a pixel spatialdistance; calculating a mapping relation of a histogram consistency by employing a color histogram; performing brightness correction of a fused image; and finally, generating one contour layer and one detail layer corresponding to each layer by employing an image pyramid, and performing reconstruction to generate the fused image. The image mosaicking method employs the region growing method basedon the pixel spatial distance to generate the fusion seam of the image, and combines a traditional image super-resolution image pyramid reconstruction method to enhance an optimization effect; and moreover, the image mosaicking method is not limited by scenes and targets and can automatically calculate the fusion seam for targets with different scenes, depths of field and color spaces, so that the robustness and the generalization of image mosaicking are improved.

Description

technical field [0001] The present invention relates to the technical field of image stitching, in particular to an image stitching method. Background technique [0002] Image stitching is one of the earliest algorithms in the field of image processing. With the continuous attention of technologies such as video security and panoramic photography, the industry urgently needs new image stitching methods. Traditional image stitching algorithms can be divided into non-multi-scale decomposition image fusion algorithms and multi-scale decomposition image fusion algorithms. The former has a small amount of calculation, but the transition area is obvious after fusion, and the visual effect is poor; the latter transition area is soft, the visual effect is better, but the anti-noise ability is poor. [0003] According to different fusion methods, stitching algorithms can be divided into two categories based on optimal seam and smooth transition. The former calculates the best seam,...

Claims

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Application Information

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IPC IPC(8): G06T3/00G06T5/00G06T5/40G06T7/33
CPCG06T3/0068G06T5/006G06T5/007G06T5/40G06T2207/10004G06T2207/10016G06T2207/20016G06T2207/20221G06T7/33
Inventor 张力元卢智睿黄虎
Owner 中电科新型智慧城市研究院有限公司
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