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Strong noise image characteristic points automatic extraction method

An image feature point and automatic extraction technology, which is applied to instruments, character and pattern recognition, computer components, etc., can solve problems such as low precision, poor stability, and large noise interference, and achieve high automatic extraction accuracy and algorithm stability.

Inactive Publication Date: 2007-11-28
BEIHANG UNIV
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Problems solved by technology

[0004] The technology of the present invention solves the problem: In order to solve the shortcomings of low precision and poor stability in the existing high-noise image feature point extraction method, the present invention provides a high-noise image feature point automatic extraction method, which is used to extract noise in the target feature and background area. It is used when the interference is large and the edge of the target feature is not easy to extract. It not only has fast measurement speed and high precision, but also can obtain better edge positioning and anti-noise ability

Method used

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Embodiment Construction

[0020] As shown in Figure 1, the process of the method of the present invention is to first preprocess the collected digital images, then use the method based on region growing or maximum class variance to roughly segment the image, and then perform morphological analysis on the roughly segmented image. After the post-scientific processing, the target area with internal connectivity and smooth boundary is obtained; the image after the morphological post-processing is subjected to three expansion operations of the eight-neighborhood and three erosion operations of the eight-neighborhood to obtain the outer area and the inner area of ​​the transition zone. Then the transition area is extracted; then edge detection is performed in the transition area to extract accurate target feature edge points, and finally the analytical form of the image feature points is calculated by iterative least squares curve fitting algorithm. y = Σ ...

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Abstract

This invention relates to an automatic extraction method for image character dot with high noise, which comprises the following steps: firstly, preprocessing the collected digital image, then dividing the image automatically by method basing on image dividing in transition area or in background area to get the object character area, and then distilling the object character brink dot, finally working out the analysis format of the image character dot by iterative least square curved-fitting method.

Description

technical field [0001] The invention relates to an image feature point measurement method for online high-precision measurement, in particular to an automatic extraction method for high-noise image feature points. Background technique [0002] With the development of modern processing industry, more and more micro-precision workpieces require high-precision online measurement. However, in the actual online measurement, since the image to be processed is the surface of the metal workpiece captured in real time, the influence of factors such as uneven surface illumination, high reflection of the feature edge, metal texture, edge burrs and stray light, etc., lead to the blurring of the target area in the image. The dynamic range of the grayscale distribution is large, and the grayscale difference between the target area and the background area is not obvious, which makes it difficult to automatically segment the image. [0003] At present, the methods of automatic image segmen...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/46G06K9/54
Inventor 赵慧洁屈玉福
Owner BEIHANG UNIV
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