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Tile color line detection system

Author: LiWenWen
Tutor: WangBaoGuang
School: Tianjin University
Course: Measuring Technology and Instruments
Keywords: Machine Vision Online testing Image Processing Image Segmentation Feature Extraction
CLC: TP274
Type: Master's thesis
Year: 2009
Downloads: 87
Quote: 2
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Abstract


In this paper, the ceramic industry in the existing color difference detection problem, we propose a color machine vision based line detection method to solve the mass production of ceramic enterprises due to manual inspection is slow, labor-intensive, poor environment, impact on the results of subjective factors Larger and other defects. Tile surface color line detection system based on machine vision-based set of Applied Optics technology, computer technology, digital image processing technology, on-line precision measurement technology in one color tile surface detection equipment. This topic is Tianjin University Precision Instrument and Optoelectronics Engineering, Guangdong Province, South China precision manufacturing and technology research and development centers jointly developed research topic. In this paper, development trends and the needs of practical application of linear CCD scanning technology and large-format color image processing and analysis techniques were studied, designed based on the visual detection technology tile color line detection system. Dissertation mainly includes: 1. Based on machine vision theory, structure of the system were introduced, detailing the visual inspection part of the hardware design, including lighting, CCD, lens, frame grabbers and other parts of the selection, the software part of the design. With a color linear CCD image acquisition on the tile, using image processing and image analysis methods to study its color information. (2) image preprocessing is based on image analysis, this paper preprocessing algorithm mainly includes color space conversion, image denoising and inconsistent for the CCD pixel response carried flat-field correction processing. Image segmentation is one of the basic problems of machine vision, image recognition is the basis for the work. In the study and comparison of several major image segmentation algorithm is proposed based on the most suitable of this topic segmentation algorithm. Proposed a method of image feature extraction using wavelet decomposition technique to extract the color image on the tile surface color, texture and scale integration of information. 3 In the Component classification experiments, the two color classification scheme has been verified. In the conventional histogram distribution characteristic value as the classification method, since not reflect the spatial distribution of colors, so that in practice is prone to false alarms. In this paper, two-dimensional wavelet decomposition of the image to extract its energy feature detail sub-graph, the feature matrix as the classification feature set by the minimum distance classifier for classification decisions proved achieved good detection results, with the human eye detection results in good agreement.

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CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation systems > Data processing, data processing system
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