The nude image detection

Jiann Shu Lee, Pau-Choo Chung, Yun Ming Kuo, E. Liang Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a new nude image detection method. The foreground-background co-sampling mechanism is proposed to online sample the target image's chromatic distribution. The sampled data is then fed into a multiplayer perceptrons neural network to decide if the target image contains skin color object and which color category it belongs to. The texture feature, coarseness, is also utilized to acquire accurate skin segmentation. Several low-level whereas reliable geometrical constraints are further employed to inspect the skin regions. Finally, the mug shot exclusion procedure is applied to promote the system performance. The experimental results show our method is satisfactory for nude image detection.

Original languageEnglish
Title of host publicationSixth IASTED International Conference on Signal and Image Processing
EditorsM.H. Hamza
Pages145-150
Number of pages6
Publication statusPublished - 2004 Dec 27
EventSixth IASTED International Conference on Signal and Image Processing - Honolulu, HI, United States
Duration: 2004 Aug 232004 Aug 25

Publication series

NameSixth IASTED International Conference on Signal and Image Processing

Other

OtherSixth IASTED International Conference on Signal and Image Processing
CountryUnited States
CityHonolulu, HI
Period04-08-2304-08-25

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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