Image splicing method based on SIFT feature point matching

A feature point matching and image stitching technology, applied in the field of image processing, can solve the problems of unclear fusion images and low efficiency of image stitching technology, and achieve the effects of eliminating chromatic aberration, improving operating efficiency, and improving efficiency and accuracy

Inactive Publication Date: 2017-09-12
重庆信科设计有限公司
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Problems solved by technology

[0004] The problem to be solved by the present invention is to propose an image stitching method based on SIFT feature point matching in view of the low efficiency of the current image stitching technology and unclear fusion images. The invention is a high-precision, high-efficiency and good stitching effect. seamless splicing method

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  • Image splicing method based on SIFT feature point matching
  • Image splicing method based on SIFT feature point matching

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Embodiment Construction

[0038] The idea of ​​the present invention is to solve the problems of complex calculation, low matching accuracy and unsatisfactory fusion effect in the existing SIFT image mosaic method, and proposes an image mosaic method based on SIFT feature point matching. Dimensionality reduction improves the efficiency and accuracy of matching; the geometric consistency between matching feature point pairs is used to roughly purify the feature points to improve the operating efficiency of the random sampling consistency method; the Contourlet transform is used for image fusion to eliminate The chromatic aberration of the fusion image achieves a high-quality stitching effect of two images.

[0039] Image mosaic method of the present invention, its flow chart is as followsfigure 1 Shown: Specifically follow the steps below:

[0040] Step 1. Establish scale space

[0041] The two-dimensional Gaussian function is defined as: σ is the variance value of the Gaussian normal distribution, a...

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Abstract

The invention discloses an image splicing method based on SIFT feature point matching. The method comprises steps of performing dimensionality reduction of feature descriptors by using a bidirectional 2DPCA method, so as to improve the efficiency and precision of matching; performing crude purification of feature points by the geometrical consistency between the matching feature point pairs, so as to improve the operation efficiency of the random sampling consistency method; performing image fusion by adopting Contourlet transform and eliminating the chromatic aberration of the fusion image, so as to achieve high quality splicing effect of two images. The image splicing method based on SIFT feature point matching solves the problems that the conventional image splicing method is low in matching precision and efficiency, and the fusion image is not clear.

Description

technical field [0001] The invention relates to an image splicing method, in particular to an image splicing method based on SIFT feature point matching, and belongs to the technical field of image processing. Background technique [0002] Image stitching is to fuse multiple images with a certain overlap to synthesize a high-resolution image with a wide field of view and no obvious stitching gaps. At present, image stitching technology has gradually become a research hotspot, and it is widely used in computer image processing, seabed exploration, medical image, virtual reality, remote sensing image processing and other fields. [0003] The methods of image stitching can be basically divided into the following two types: methods based on gray information and methods based on features. The method based on grayscale information calculates the similarity of two images by using the pixel values ​​of the image to be stitched, so as to determine the overlapping area of ​​stitching...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/40G06T5/50
CPCG06T3/4038G06T5/50G06T2207/20221
Inventor 张勇王志锋袁泉
Owner 重庆信科设计有限公司
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