본문 바로가기
  • Home

Effective Nonlinear Filters with Visual Perception Characteristics for Extracting Sketch Features

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2006, 11(1), pp.139-146
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

조성목 1 조옥래 1

1동명대학교

Candidate

ABSTRACT

Feature extraction technique in digital images has many applications such as robot vision, medical diagnostic system, and motion video transmission, etc. There are several methods for extracting features in digital images for example nonlinear gradient, nonlinear laplacian, and entropy convolutional filter. However, conventional convolutional filters are usually not efficient to extract features in an image because image feature formation in eyes is more sensitive to dark regions than to bright regions. A few nonlinear filters using difference between arithmetic mean and harmonic mean in a window for extracting sketch features are described in this paper. They have some advantages, for example simple computation, dependence on local intensities and less sensitive to small intensity changes in very dark regions. Experimental results demonstrate more successful features extraction than other conventional filters over a wide variety of intensity variations.

Citation status

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