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Method for automatically extracting image feature points of workpiece with rough grain under the strong reflection background

An image feature point and automatic extraction technology, which is applied to measurement devices, instruments, optical devices, etc., can solve the problem of difficulty in automatic extraction of image feature points of rough texture workpieces, and achieve high automatic extraction accuracy, algorithm stability, and dynamic range. larger effect

Inactive Publication Date: 2005-09-14
BEIHANG UNIV
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Problems solved by technology

[0004] The technical problem solved by the present invention: In order to solve the problem of difficulty in automatically extracting feature points of images of rough textured workpieces under strong reflection backgrounds, the present invention provides an automatic extraction method for image feature points of rough textured workpieces under strong reflection backgrounds to realize image features of rough textured workpieces The automatic extraction of points not only has fast measurement speed and high precision, but also can obtain better edge positioning and anti-noise ability

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  • Method for automatically extracting image feature points of workpiece with rough grain under the strong reflection background
  • Method for automatically extracting image feature points of workpiece with rough grain under the strong reflection background
  • Method for automatically extracting image feature points of workpiece with rough grain under the strong reflection background

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Embodiment Construction

[0022] Such as figure 1 As shown, the method process of the present invention is: first carry out preprocessing such as filtering and denoising to the original collected image, then through the automatic image segmentation and edge extraction based on the gray gradient, the feature points of the image are extracted from the background, and finally the Iterative least squares curve fitting is performed on the feature points, and the analytical form of the feature points corresponding to the surface of the workpiece is calculated.

[0023] y = Σ i = 0 N a i x i , N is the polynomial highest order

[0024] In the formula, i is the number of edge points, (x, y) is the edge point coefficient, and α is the polynomial coefficient to be obtained. Bring the coordinates (x, y) of the ed...

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Abstract

The invention relates to an automatic extraction method for rough vein work-piece characteristic points against a background of strong reflection, the characteristics of which are as follows: first, preprocessing the collected digital picture; second, segmenting picture through automatic picture segmentation method based on gray-scale gradient to acquisit target character area; then, extracting target character margin points; finally, calculating cleavage form of rough vein work-piece characteristic points through 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 a method for automatically extracting image feature points of a rough texture workpiece under a strong reflection background. Background technique [0002] With the development of modern processing industry, more and more micro-precision workpieces require high-precision online measurement. However, the key features of many workpieces are surrounded by strongly reflective surfaces, and the surface of the measured features has a large roughness coefficient, low reflection coefficient, and complex surface texture, which leads to the gray distribution of the target image in the images collected by the visual measurement system. The dynamic range is large, the overall difference in grayscale between the target area and the background area is not obvious, and a considerable part of the pixel grayscale in the target area is even lower th...

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Application Information

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IPC IPC(8): G01B11/00
Inventor 赵慧洁屈玉福赵渊博
Owner BEIHANG UNIV
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