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Surface roughness on line measurement method under uncertain condition

A surface roughness and measurement method technology, applied in the direction of measuring devices, instruments, optical devices, etc., can solve the problems of deviation and change of measurement results

Inactive Publication Date: 2009-10-21
SOUTHEAST UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

At present, most of the methods for measuring surface roughness using optical principles are based on specific lighting environments. The corresponding feature quantity will also change, so the corresponding measurement results will have a large deviation

Method used

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  • Surface roughness on line measurement method under uncertain condition
  • Surface roughness on line measurement method under uncertain condition
  • Surface roughness on line measurement method under uncertain condition

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Embodiment Construction

[0046] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0047] (1) Determine the modeling under light:

[0048] A. Take the first workpiece with a surface roughness value of 0.12 μm and place it on the production site; adjust the on-site LED light source so that the ambient light brightness value is 230Lux at this time, use a CCD camera to obtain an image of the workpiece surface, and convert the acquired image to grayscale image;

[0049] B. According to the grayscale image obtained in step A, extract the grayscale mean μ of the sampling area G As the first feature quantity T of the first workpiece surface image G1 ,Calculated as follows:

[0050] T G 1 = μ G = ( Σ i = 1...

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Abstract

The invention provides a surface roughness on line measurement method under uncertain condition, and provides a method of establishing relational model of ambient lighting, surface characteristic quantity and surface roughness to calculate the value of surface roughness to be measured aiming at influence of ambient lighting in surface roughness measurement by using machine vision in realistic condition. The method can remarkably improve the measurement precision of surface roughness under various external ambient lighting conditions. The method is realized by the following technical scheme: surface statistical characteristic and texture characteristic of surface characteristic quantity, are obtained by using the methods of arithmetic mean deviation and gray level co-occurrence matrix according to visual pattern; change situation of ambient lighting is monitored by optics luminometer in real-time; relational model of ambient lighting, surface characteristic quantity and surface roughness is established based on the above change situation; functions determined by the above model is used for calculating surface roughness. The method provided by the invention has the advantage of improving on line measurement precision remarkably.

Description

technical field [0001] The invention relates to an on-line measurement method of surface roughness, in particular to a method for on-line measurement of the surface roughness of flat mechanical parts by using a machine vision method in an uncertain environment. Background technique [0002] Surface roughness is an important parameter of mechanical parts. At present, the measurement methods of surface roughness can be roughly divided into: contact measurement using a stylus surface profiler and non-contact measurement mainly based on optical principles. The former is easy to cause damage due to contact with the surface The surface is scratched, and has the disadvantages of slow speed and cannot be applied to vibration, impact and sports occasions. The latter has the characteristics of non-contact and fast, and is more suitable for online measurement occasions. At present, most of the methods of surface roughness measurement using optical principles are based on specific light...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01B11/30
Inventor 张志胜王长梁陈自新戴敏陈恺
Owner SOUTHEAST UNIV
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