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Research on workpiece arc edge feature point matching method

An arc and workpiece technology, applied in the field of edge feature point matching based on epipolar constraints and arc fitting, can solve the problems of long time, low accuracy, and great influence on measurement results.

Inactive Publication Date: 2017-09-29
JIANGNAN UNIV
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Problems solved by technology

The three-coordinate measuring instrument is expensive, takes a long time and the surrounding environment has a great influence on the measurement results when it is used to measure curves and surfaces.
If the sub-pixel matching method of calculating the intersection of the epipolar line and the straight line in the image is used to match the arc edge pixels, the algorithm process is cumbersome and the accuracy is not high

Method used

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  • Research on workpiece arc edge feature point matching method
  • Research on workpiece arc edge feature point matching method
  • Research on workpiece arc edge feature point matching method

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Embodiment Construction

[0019] The following describes the embodiments of the present invention in detail. This embodiment is implemented on the premise of the technical solution of the present invention, and detailed implementation modes and processes are given, but the protection scope of the present invention is not limited to the following embodiments.

[0020] This embodiment is selected as figure 2 The edge points of the arc workpiece shown match.

[0021] In the first step, the pre-processed image is subjected to epipolar correction processing, and images A and B are obtained after processing.

[0022] In the second step, take the A image as an example, and record the pixel coordinates in the image in Data.

[0023] The third step is to set the maximum number of cycles m of the RANSAC algorithm and the residual threshold θ.

[0024] The fourth step is to randomly select 6 different points in the Data (5 data points are more difficult to get an ellipse), fit an ellipse by the least square method based ...

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Abstract

Edge feature point matching is an important link in the process of binocular visual workpiece space arc edge detection. The invention provides an edge feature point matching method based on the epipolar constraint and arc fitting, and aims at matching of the workpiece arc edge feature points. The corresponding epipolar lines of two images are enabled to be parallel through the epipolar constraint so as to meet the scanning line characteristics. Firstly abnormal points are eliminated through a RANSAC algorithm and ellipse fitting is performed accordingly; then the correct ellipse center is found by using the fit ellipse and the correct edge feature points are selected out through screening; and finally the determined ellipse center acts as a matching reference point to perform matching on the arc edge feature points row by row. The reliability and the accuracy of the method can be verified by the experiment.

Description

Technical field [0001] The invention relates to a method in the technical field of image processing, in particular to an edge feature point matching method based on epipolar constraint and arc fitting. Background technique [0002] In the process of measuring the arc radius of the workpiece, the bearings, positioning holes, and the space circle inclined due to design needs, etc., need to be measured on the spot in real time to ensure the machining accuracy. The three-coordinate measuring instrument is expensive when used to measure curves and surfaces, it takes a long time and the surrounding environment has a great influence on the measurement results. If monocular vision measurement is used, the result will be greatly affected when the shooting angle is offset. Therefore, binocular vision is more suitable in terms of price, measurement accuracy and measurement cycle. [0003] Binocular vision measurement mainly includes the steps of dual target determination, preprocessing, fea...

Claims

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Application Information

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IPC IPC(8): G06T7/33
CPCG06T7/33G06T2207/30164
Inventor 化春键熊雪梅
Owner JIANGNAN UNIV
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