본문 바로가기
  • Home

Image Based Surface Visualization Method for the Defects Detection

  • Journal of Knowledge Information Technology and Systems
  • Abbr : JKITS
  • 2015, 10(1), pp.17-24
  • Publisher : Korea Knowledge Information Technology Society
  • Research Area : Interdisciplinary Studies > Interdisciplinary Research
  • Published : February 28, 2015

Kwangseok Lee 1 HagYong Han 2

1경남과학기술대학교
2동아대학교

Accredited

ABSTRACT

Defects detection on the final product of camera module is a major issue in the visual inspection industry. This paper is about the study of surface visualization for foreign material detector or abnormal lens surface between IR filter and lens in camera module. With the purpose of making filter surface noticeable, it extracts background image assumed as polynomial expression in input image and then generate the differential image of input image. Also, it accentuates flexuosity of surface, applying median filtering with high precision, after it smoothes a set of pixels that has recursively similar brightness value based on coarse-to-fine strategy known as bilateral filtering. Performance of the proposed method has been evaluated on some sample images captured in the white light. As a result of the experiment, we verified that surface condition is visualized and surface defects such as foreign substance is identified distinctly. And this method is expected to be used widely in the machine vision industry for automated or manual visual inspection of defects system.

Citation status

* References for papers published after 2023 are currently being built.