An Edge Preserving Color Image Segmentation Using Mean Shift Algorithm and Region Merging Method

Mean Shift 알고리즘과 영역 병합 방법을 이용한 경계선 보존 컬러 영상 분할

  • 곽내정 (목원대학교 정보통신공학부) ;
  • 권동진 (충북대학교 전기전자컴퓨터공학부) ;
  • 김영길 (충북대학교 전기전자컴퓨터공학부)
  • Published : 2006.09.01

Abstract

Mean shift procedure is applied for the data points in the joint spatial-range domain and achieves a high quality. However, a color image is segmented differently according to the inputted spatial parameter or range parameter and the demerit is that the image is broken into many small regions in case of the small parameter. In this paper, to improve this demerit, we propose the method that groups similar regions using region merging method for over-segmented images. The proposed method converts a over-segmented image in RGB color space into in HSI color space and merges similar regions by hue information. Here, to preserve edge information, the region merge constraints are used to decide whether regions are merged or not. After then, we merge the regions in RGB color space for non-processed regions in HSI color space. Experimental results show the superiority in region's segmentation results.

Keywords

Multibivrate Statistical Method;Region Merging;Image Segmentation;Mean Shift