Color Image Segmentation using Region Features

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  • Takahashi Hiroki
    Graduate School of Information Science & Engineering, Tokyo Institute of Technology
  • Nakajima Masayuki
    Graduate School of Information Science & Engineering, Tokyo Institute of Technology

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Other Title
  • 領域特徴を用いたカラー画像セグメンテーション
  • リョウイキ トクチョウ オ モチイタ カラー ガゾウ セグメンテーション

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Abstract

Image segmentation is not only very important technique, but also challenging issue in Computer Vision. The segmentation of an image and grouping of the segmented regions as an object are very hard task for a computer, but they play a great role in human visual perception. There are, therefore, many researches in the field of color image segmentation. It is very difficult task to make a closed boundary for a region from obtained edges using edge detectors. Active contour model effectively extracts a boundary of an object, but initial boundary affects the final results. Moreover, statistical models have optimization difficulties. In this paper, a novel region growing approach which employs internal features in a region and difference between two adjacent regions is proposed. Small regions occur on irregular boundaries or texture regions by using the conventional region growing segmentation approaches. Our approach reduce the small regions by using color distributions of regions. Moreover, the proposed method extracts segments suitable for human visual perception. The paper shows some examples on both synthetic and real images.

Journal

  • ITE Technical Report

    ITE Technical Report 25.64 (0), 59-64, 2001

    The Institute of Image Information and Television Engineers

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