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Curve automatic matching method based on gray subset division

A technology of automatic matching and set division, which is applied in image analysis, image data processing, instruments, etc., can solve the problem of image deformation sensitivity, achieve optimal performance and overcome performance instability

Inactive Publication Date: 2012-07-18
HENAN POLYTECHNIC UNIV
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Problems solved by technology

[0003] The present invention aims at the problem that the fixed-shape sub-region division of the existing mean standard deviation curve descriptor is sensitive to the local deformation of the image, and the purpose is to provide a curve automatic matching method with stronger stability to the local deformation of the image

Method used

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  • Curve automatic matching method based on gray subset division
  • Curve automatic matching method based on gray subset division
  • Curve automatic matching method based on gray subset division

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Embodiment Construction

[0015] Such as figure 1 Shown is the flow chart of the curve automatic matching method based on gray-scale sub-set division of the present invention, including: collecting images and inputting them into the computer, extracting curve segments in the images, determining the curve support area, sub-set dividing the curve support area, and calculating The eigenvectors of each point in the support area are calculated, the sub-area mean value description vector and the standard deviation description vector are calculated, and the curve matching descriptor is calculated to perform curve matching. The specific implementation details of each step are as follows:

[0016] Step S1: Take two different images of the same scene from different angles and input them into the computer;

[0017] Step S2: use the Canny edge detection operator to detect the curve segment of the two images respectively;

[0018] Step S3: For any curve C in the two images, determine its support area in the follo...

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Abstract

The invention relates to a curve automatic matching method based on gray subset division, which comprises the following steps: acquiring an image and inputting the image into a computer, extracting a curve section in the image, determining a curve supporting area, carrying out subset division on the curve supporting area, calculating feature vectors of each point in the supporting area, calculating sub-area mean-value description vectors and standard deviation description vectors and calculating a curve matching descriptor and carrying out curve matching. The method provided by the invention has the benefits that the problem of image deformation sensitiveness in the existing method can be overcome, and the matching performance is better.

Description

technical field [0001] The invention relates to the field of automatic matching of image features in computer vision, in particular to a method for automatic matching of curves in digital images. Background technique [0002] Feature matching technology has important applications in the fields of image retrieval, object recognition, video tracking and augmented reality. At present, the existing curve matching methods mainly fall into the following two categories. The first category is the matching method based on the curve shape. This method mainly uses the shape information such as the curvature change of the curve itself for curve matching. The common idea is to perform frequency domain After the transformation, the frequency-domain transformation coefficients are used for feature matching. The main problem of this type of method is that the curve shape contains less information and the matching accuracy is not high; the second type of method is a matching method based on ...

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Application Information

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IPC IPC(8): G06T7/00
Inventor 王志衡刘红敏侯占伟贾利琴智珊珊
Owner HENAN POLYTECHNIC UNIV
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