Gray associated analysis based sub-pixel fringe extracting method

A gray relational analysis and sub-pixel edge technology, which is applied in image analysis, color TV parts, color TV, etc., can solve the problems of reducing the amount of calculation, limited applicability, and large noise impact, so as to reduce the amount of calculation, The effect of reducing the amount of data and improving accuracy
CN101137003AInactive Publication Date: 2008-03-05BEIHANG UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BEIHANG UNIV
Publication Date
2008-03-05
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention includes steps: select the reference template for gray correlation analysis and convert the original pictures to pictures of gray correlation by calculating the two-dimensional gray absolute connection; (2) next process the pictures of gray connection with threshold values; (3) then apply the cubic-polynomial-fitting of the two-dimensional gray absolute connection in a small area on the pictures of the gray connection; (4) obtain the fitting parameter by least square method and (5) use the first and second derivatives of the fitting function on the gradient slope to obtain the edge of sub-pixel. This invention for the first time applies the gray system theory for extracting the edge of sub-pixel, effectively suppressing the interferences from white noise and colored noise, enhancing the precision of the edge extraction, reducing the data sizes of the pictures, thus facilitating the operation of the extraction algorithm. This invention can be widely applied in the field of measuring techniques.
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Description

technical field

[0001] The invention relates to a sub-pixel edge extraction method, in particular to a sub-pixel edge extraction method based on gray relational analysis. Background technique

[0002] The edge of the image is the area where parameters such as image grayscale or color change sharply. As a key technology in the process of visual measurement, edge extraction is the basis of target positioning, measurement and evaluation.

[0003] Edge extraction is usually performed by first-order differential edge detection operators such as Canny operator (Canny J.F., "A computational approach to edge detection", IEEE Trans. Pattern Analysis and Machine Intelligence. 1986, 8(6): 679-698.) Extraction, the Canny operator is the best first-order differential operator for step-type edges under the influence of white noise. It can realize single-pixel edge extraction and suppress noise interference through smoothing filtering, but its extraction accuracy is only at the pixel level...

Claims

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