Implementation of Image Processing System for the Defect Inspection of Color Polyethylene

칼라팔레트의 불량 식별을 위한 영상처리 시스템 구현

  • 김경민 (여수대학교 전자통신 및 전기공학부) ;
  • 박중조 (경상대학교 전기전자공학부) ;
  • 송명현 (순천대학교 전기제어공학과)
  • Published : 2001.10.01

Abstract

This paper deals with inspect algorithm using visual system. One of the major problems that arise during polymer production is the estimation of the noise of the color product.(bad pallets) An erroneous output can cause a lot of losses (production and financial losses). Therefore new methods for real-time inspection of the noise are demanded. For this reason, we have presented a development of vision system algorithm for the defect inspection of PE color pallets. First of all, in order to detect the edge of object, the differential filter is used. And we apply to the labelling algorithm for feature extraction. This algorithm is designed for the defect inspection of pallets. The labelling algorithm permits to separate all of the connected components appearing on the pallets. Labelling the connected regions of a image is a fundamental computation in image analysis and machine vision, with a large number of application. Also, we suggested vision processing program in window environment. Simulations and experimental results demonstrate the performance of the proposal algorithm.