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Detection method for surface roughness of mobile phone housing

A technology of surface roughness, mobile phone casing, used in measuring devices, optical devices, instruments, etc.

Inactive Publication Date: 2017-05-31
GUANGDONG UNIV OF TECH
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  • Claims
  • Application Information

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Problems solved by technology

In view of this problem, the present invention is aimed at the detection of the surface roughness of the mobile phone shell. First, a CCD industrial camera and a non-contact optical section microscope are used to extract the surface image of the workpiece, and then the surface image is scaled, grayscaled, binarized, A series of image processing tasks such as median filtering and adaptive edge detection can realize online real-time measurement of automatic roughness detection and solve this problem.

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  • Detection method for surface roughness of mobile phone housing
  • Detection method for surface roughness of mobile phone housing
  • Detection method for surface roughness of mobile phone housing

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Embodiment Construction

[0029] The present invention is described in detail below in conjunction with accompanying drawing:

[0030] A detection method applied to the surface roughness of the mobile phone shell. Firstly, the surface area of ​​the mobile phone shell is divided and sampled, then the sampled image is preprocessed, and the median filter is used to reduce the interference of noise on the image. Finally, according to the adaptive edge detection Canny The method is used to detect the edge, extract the average difference of the pixel line distance between the peak and the trough, and perform curve fitting and weight correction to obtain the surface roughness level. figure 1 It is a flow chart of the mobile phone shell roughness detection method. It mainly includes seven aspects such as division area sampling, image preprocessing, grayscale, binarization, and median filtering.

[0031] Area sampling: Since the hardware equipment for collecting images is optical section microscope and CCD ind...

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Abstract

The invention relates to a detection method for the surface roughness of a mobile phone housing. Because there are different roughness and real-time online monitoring in detection of a mobile phone housing at different stages in an automatic polishing process, so the method comprises steps of firstly sampling the division of surface regions of the mobile phone housing; carrying out preprocessing of zooming, graying and binaryzation on sampled images and using median filtering to reduce interference to the images by noise; and finally, carrying out edge detection according to an adaptive edge detection Canny method, extracting a pixel point line spacing difference value of a peak and a trough, and carrying out curve fitting and weight correction to obtain a quite correct surface roughness grade.

Description

technical field [0001] The invention relates to the field of image processing of computer vision, in particular to a detection method applied to the surface roughness of a mobile phone shell. Background technique [0002] The method of the invention relates to the image processing of computer vision, especially the part of basic image processing. The industrial CCD camera is used to detect the surface roughness curve obtained by the optical section microscope, so as to obtain the surface roughness grade. [0003] The method closest to the present invention has Yao Songli [1] etc. to propose a kind of surface roughness detection system based on machine vision for the roughness detection of the surface of the mobile phone shell, using image processing technology to extract the surface profile from the light-section microscopic image The signal calculates the roughness evaluation parameters. [0004] Citation: [0005] [1] Yao Songli, Si Jianxun, Ren Hongli, etc. Design of Su...

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Application Information

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IPC IPC(8): G01B11/30
CPCG01B11/30G01B11/303
Inventor 曾碧张伟黄文张伯泉
Owner GUANGDONG UNIV OF TECH
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