Cylindrical surface image matching method combining with SURF feature extraction and curve fitting

A technology of curve fitting and matching method, which is applied in the field of cylindrical image matching, can solve problems such as mismatching, and achieve the effect of improving accuracy

Inactive Publication Date: 2016-05-04
TIANJIN UNIV
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Problems solved by technology

However, the feature-based image matching algorithm will cause certain mismatches due to the influence of feature points by noise, extraction and matching methods. Fewer false-match rejection algorithms for non-linearly transformed objects

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  • Cylindrical surface image matching method combining with SURF feature extraction and curve fitting
  • Cylindrical surface image matching method combining with SURF feature extraction and curve fitting
  • Cylindrical surface image matching method combining with SURF feature extraction and curve fitting

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Embodiment Construction

[0020] In the process of cylindrical image registration, two cylindrical images need to be collected first. Due to reasons such as viewing angle and position of the collected cylindrical images, the transformation relationship between the two images is a nonlinear transformation relationship. The first step in the matching of two images is to extract the SURF features of the two images using the SURF feature detection algorithm, and then use the ratio of the nearest to the next closest Euclidean distance of the feature vectors to determine the rough matching pair between the two images. Due to SURF in actual use, there will be a certain amount of mismatching. For traditional planar images that undergo linear transformation, a single linear transformation model between two images can be calculated to find matching pairs that do not satisfy this model, that is, mismatching. Realize the elimination of the mismatch of the linear transformation image. However, for cylindrical image...

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Abstract

The invention relates to a cylindrical surface image matching method combining with SURF feature extraction and curve fitting, comprising steps of arranging two images (A and B) on an upper position and a lower position in a left-right alignment manner, adopting a SURF characteristic detection algorithm to perform characteristic detection on the two images, finding out a matched pair set, calculating the angle between the straight line defined by each matched pair in the characteristic point matched pair set and the horizontal direction and the angle and an Euclidean distance between the two characteristic points in each matched pair, establishing an angle set K of the image matched pair and an Euclidean distance set D of the image, performing curve fitting on the angle set K of the matched pair, wherein the independent variable of the curve fitting is the abscissa X1i of the matched pair, the ordinate of the curve fitting is angle Theta I, removing the mismatching, performing curve fitting on the Euclidean distance set D of the matched pair, wherein the independent variable of the curve fitting is the abscissa X1i of the characteristic point in the image A, and removing the mismatching. The invention can more accurately remove the mismatching of the cylindrical object.

Description

technical field [0001] The invention belongs to the technical field of digital image processing, and relates to a cylinder image matching method. Background technique [0002] With the development and progress of society, people's requirements for industrial production efficiency are getting higher and higher. Due to the low efficiency and high cost of manual production in the past, it can no longer meet the needs of today's society. In order to improve production efficiency, today's production lines are becoming more and more intelligent. An important basis for intelligent production lines is image matching technology, which is mainly used for product registration, identification, and error detection. Feature-based image matching technology is widely used in image matching technology, which has the advantages of high robustness and fast calculation speed. However, the feature-based image matching algorithm will cause certain mismatches due to the influence of feature point...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 肖夏田健飞
Owner TIANJIN UNIV
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