Fast image splicing method of matching strategy fusion and low errors

An image stitching and strategy technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of time-consuming, large errors, and low matching accuracy

Inactive Publication Date: 2018-04-17
WUHAN UNIV OF TECH
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Problems solved by technology

[0006] The technical problem to be solved by the present invention is to provide a fast image stitching method with matching strategy fusion and low error in view of the defects of low matching accuracy, time-consuming and large error of commonly used stitching algorithms in the prior art

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  • Fast image splicing method of matching strategy fusion and low errors
  • Fast image splicing method of matching strategy fusion and low errors
  • Fast image splicing method of matching strategy fusion and low errors

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Embodiment Construction

[0098]In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0099] like figure 1 As shown, the matching strategy fusion of the embodiment of the present invention and the fast image mosaic method of low error, this method comprises the following steps:

[0100] S1. Obtain a plurality of sequence images to be stitched, and preprocess them, including grayscale, unified image resolution, and overlapping areas between calibration images;

[0101] S2. Extract SIFT feature points in the calibrated overlapping area, and then use the integral image to calculate the SURF feature descriptor;

[0102] S3. Use the Kd tree search algorithm based on the BBF query mechan...

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Abstract

The invention discloses a fast image splicing method of matching strategy fusion and low errors. The method includes: S1, acquiring a plurality of to-be-spliced sequence images, and carrying out preprocessing and calibration of overlapped areas between the images thereon; S2, extracting SIFT feature points In the overlapped area, and calculating SURF feature descriptors; S3, completing feature rough-matching, utilizing rough-matching information to complete sequence image sorting, then adopting a random sample consensus algorithm to refine matching results, and fitting homography transformation matrices between the images; S4, selecting an image of a middle position of the sequence images to use the same as a reference image, and establishing a projection transformation model of any otherimage to the reference image; and S5, using the projection transformation model and combining multiple threads to project all the images to reference-image coordinate space after brightness correction, and synthesizing a high-quality panoramic-image after image fusion. The method greatly increases a correct-matching rate, can fast synthesize the high-quality panoramic-image of low errors, and hashigher practical values.

Description

technical field [0001] The invention relates to the technical field of image stitching, in particular to a fast image stitching method with matching strategy fusion and low error. Background technique [0002] Image stitching technology combines multiple sequential images of the same scene to synthesize wide-field and high-resolution panoramas after registration and fusion. In recent years, it has been widely used in 3D reconstruction, video surveillance, remote sensing images, and disaster prevention and control. [0003] Image stitching mainly includes two steps of image registration and image fusion. Image registration is the core of the stitching algorithm. The region-based registration algorithm uses region information for stitching, and requires a high degree of overlap of the images, which reduces computing efficiency and real-time performance. poor. Feature-based image registration technology has a small amount of calculation and high robustness, so it has been wide...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/40G06T5/50G06K9/46
CPCG06T3/4038G06T5/50G06T2207/20016G06T2207/20221G06V10/462
Inventor 石英杨明东罗佳齐徐乐陈启宏张立炎全书海高田翔谢凌云刘子伟朱剑怀
Owner WUHAN UNIV OF TECH
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