Application of Machine Vision Technology in the Detection of Industrial Products

Shu Liu; Chang Sun; Wen Wen Li; Wei Wei

doi:10.4028/www.scientific.net/AMR.499.366

Paper Titles

Analysis and Evaluation on Detectability of Characteristic Index for Coal Property
p.344

Influence of Processing Methods on Number and Form of Cracks of Bionic Units on Vermicular Cast Iron
p.350

Research on Distribution for Soot Remain Different Height in Smoldering Fire
p.355

Adaptive Switching Control for Projected Synchronization of Chaotic Systems with Uncertainties
p.360

Application of Machine Vision Technology in the Detection of Industrial Products
p.366

Test Methods for Suspended Load Abrasion and Bed Load Abrasion on Hydraulic Concrete
p.370

Experimental Investigation on Water Miscible Rolling Lubricant J4
p.376

An Optimal Study of the Preparation Conditions of Urea-Modified Titanium Ore Adsorbent
p.380

Wear Resistance Experimental Analysis of Closed Extruding Fine Blanking Parts Surface
p.384

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 499Application of Machine Vision Technology in the...

Application of Machine Vision Technology in the Detection of Industrial Products

Abstract:

This paper introduces several applications of machine vision technology. With paneled CCD as the image sensor, the two-dimensional pictures of sample under study are inputted to a computer via the image grabbing card. After the preprocessing to the original image, image segmentation and feature extraction are carried on the target image, and the parameter value is figured out. The method is suitable for the parameter detection of the size, surface defect and color information, and have vast of application foreground.

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Periodical:

Advanced Materials Research (Volume 499)

Pages:

366-369

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.499.366

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Online since:

April 2012

Authors:

Shu Liu, Chang Sun, Wen Wen Li, Wei Wei

Keywords:

Defect Detection, Image Processing, Image Segmentation

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