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Adult Image Detection Using an Intensity Filter and an Improved Hough Transform

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2009, 14(5), pp.45-54
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

장석우 1 김상희 2 Gye-young Kim 2

1안양대학교
2숭실대학교

Accredited

ABSTRACT

In this paper, we propose an adult images detection algorithm using a mean intensity filter and an improved 2D Hough Transform. This paper is composed of three major steps including a training step, a recognition step, and a verification step. The training step generates a mean nipple variance filter that will be used for detecting nipple candidate regions in the recognition step. To make the mean variance filter, we converts an input color image into a gray scale image and normalize it, and make an average intensity filter for nipple areas. The recognition step first extracts edge images and finds connected components, and decides nipple candidate regions by considering the ratio of width and height of a connected component. It then decides final nipple candidates by calculating the similarity between the learned nipple average intensity filter and the nipple candidate areas. Also, it detects breast lines of an input image through the improved 2D Hough transform. The verification step detects breast areas and identifies adult images by considering the relations between nipple candidate regions and locations of breast lines.

Citation status

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