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Image splicing method based on improved image fusion

An image stitching and image fusion technology, applied in the field of image processing, can solve the problems of low real-time performance and low accuracy

Inactive Publication Date: 2017-09-08
CHONGQING UNIV OF POSTS & TELECOMM
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AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is the low accuracy and low real-time problems existing in the prior art

Method used

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  • Image splicing method based on improved image fusion
  • Image splicing method based on improved image fusion
  • Image splicing method based on improved image fusion

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Experimental program
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Embodiment 1

[0088] This embodiment provides an image stitching method based on improved image fusion, the method comprising:

[0089] (1) Use the A-KAZE algorithm to extract feature points from the target image and the reference image, and establish a feature descriptor set;

[0090] (2) Construct a KD-tree from the feature descriptor set obtained from the target image and the reference image in step (1), establish a feature point data index, use the bidirectional KNN matching algorithm to perform feature point matching, and obtain set C, set C The matching pair in is the result of the initial matching. For the initial matching result, the RANSAC algorithm is used to remove the outer points and retain the inner points, calculate the affine transformation matrix H between the target image and the reference image, and unify the target image and the reference image into the same coordinate system , obtain the registration image, and complete the image registration; the feature descriptor set...

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Abstract

The invention relates to an image splicing method based on improved image fusion. The method mainly settles technical problems of low real-time performance, splicing seam and ghost in prior art. The method comprises the steps of respectively performing characteristic point extraction on a target image and a reference image by means of an A-KAZE algorithm, and establishing a characteristic description subset; constructing a KD-tree, establishing a characteristic point data index, matching the characteristic point by means of a bidirectional KNN matching algorithm, obtaining an initial matching result, performing external point elimination and internal point reserving on the initial matching result through a RANSAC algorithm, and finishing image registering; and performing image fusion by means of an improved Laplace multi-resolution fusion algorithm based on a splicing seam, wherein the step comprises an optimal splicing seam by means of dynamic planning method, limiting a fusion range according to the optimal splicing seam, and finally performing fusion by means the Laplace multi-resolution fusion algorithm in a fusion range, thereby finishing image splicing. The image splicing method settles the problems in a relatively good manner and can be used in image splicing.

Description

technical field [0001] The invention relates to the field of image processing, in particular to an image splicing method based on improved image fusion. Background technique [0002] Images relate to all fields of people's life and work. With the rapid development of computer-related fields, the application value of digital image processing has been discovered by many experts and scholars, and its application fields are also growing. As a promising interdisciplinary subject, digital image processing has attracted many researchers from other scientific fields to participate in it, and has been widely used in basic research and engineering practice. Image stitching technology is an indispensable key branch in digital image processing. In recent years, with the development of computer vision and computer graphics, the combination of image stitching technology and other related technologies has opened up many new fields and has become a research hotspot. . The main purpose of...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/40G06T7/33
CPCG06T3/4038G06T7/33G06T2207/20221
Inventor 瞿中卜玮危学明黄旭吴戈王腾峰
Owner CHONGQING UNIV OF POSTS & TELECOMM
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