Precisive measurement of static knife profile

A precision measurement and tool technology, which is used in measurement/indication equipment, manufacturing tools, metal processing machinery parts, etc., can solve the problems of poor accuracy of gray-moment edge detection algorithm, large amount of calculation, noise sensitivity, etc., to achieve simple operation, The effect of strong anti-noise ability and high precision

Inactive Publication Date: 2005-10-12
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

The typical method of the former is the feature point detection method based on the transform domain. For example, the methods based on Hough transform and wavelet transform respectively convert the problem into the problem of finding the extreme value of the parameter domain or the discrimination of a set of wavelet descriptors. Although the transform domain method It may simplify the problem, but it often requires a lot of extra time and storage space before and after the transformation, so it is less practical; the latter is divided into traditional edge positioning methods and sub-pixel edge positioning methods, traditional edge detection algorithms such as Roberts operator And Sobel operator, the accuracy of image edge detection can only reach 1-2 pixels. Typical sub-pixel edge location methods such as fitting method have too much calculation and are sensitive to noise, while the accuracy of gray moment edge detection algorithm poor

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  • Precisive measurement of static knife profile
  • Precisive measurement of static knife profile
  • Precisive measurement of static knife profile

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Embodiment Construction

[0059] To accurately measure a tool, follow the steps below:

[0060] 1. Use a digital camera to take a color tool image, input the tool image into the computer through the USB interface, and convert it into a grayscale image and a binary image, such as Figure 4 shown.

[0061] 2. Perform morphological filtering on the binary image of the tool, and a series of preprocessing of gradient, thinning, and pruning to obtain the rough edge of the binary image of the tool, such as Figure 5 (a) shown.

[0062] 3. Perform contour tracking on the edge of the binary image of the tool, and extract the feature points of the image contour of the tool, and then perform segmental recognition of straight lines and arcs on the contour of the binary image of the tool.

[0063] 4. Use the B-spline curve fitting method to locate the edge of the gray image of the tool by sub-pixel.

[0064] 5. Utilize the geometric relationship of the edge of the tool image to calculate high-precision tool geome...

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Abstract

A precise measuring method for the static image of cutting tool includes such steps as locating the precise coordinate position of the margin of said static image by digital image processing method, calculating the precise geometric parameters of cutting tool, and obtaining the envelope of said cutting tool. Its advantages are high percision and anti-interference power, and high locating correctness.

Description

technical field [0001] The invention belongs to the technical field of electronic measurement, and particularly relates to the technology of digital image detection. Background technique [0002] In CNC machine tools and machining centers, in order to reduce non-production time and improve machining efficiency, precise measurement of tools is required. Traditional methods mostly use manual measurement with human eyes aiming. This method is very time-consuming and has low measurement accuracy, and the measurement results are easily affected by subjective factors. [0003] In recent years, a measurement method based on image processing technology, that is, image measurement method, has emerged. It refers to the use of the CCD image sensor to capture the image of the tool setting tool, transmit it to the computer, and process the digital image algorithm to obtain the measurement result of the tool geometric parameters. Its key technologies are the extraction method of contour...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B23Q17/00
Inventor 杨平侯学智赵云松梁彦学战玉胜
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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