Earticle

초록

영어

Hierarchical clustering (HC) algorithm can obtain good clustering results, but it needs large storage and computational complexity for large image processing. Anew color image segmentation algorithm based on mean shift and hierarchical clustering algorithm named MSHC is presented in this paper. MSHC algorithm preprocesses an input image by MS algorithm to form segmented regions that preserve the desirable discontinuity characteristics of image. The number of segmented regions, instead of the number of image pixels, is considered as the input data scale of HC algorithm. The proximity between each cluster is calculated to form the proximity matrix, and then ward algorithm is employed to obtain the final segmentation results. MSHC algorithm is employed on color image and medical image segmentation.

목차

Abstract
 1. Introduction
 2. Pre-Segmentation by Mean Shift Algorithm
 3. Image segmentation algorithm based on MSHC
  3.1. Selection of Image Features
  3.2. Description of Image Segmentation Method based on MSHC
 4. Experiment Design and Discussion
 5. Conclusion
 References

키워드

저자

• Lihua Tian [ College of Geoexploration Science and Technology Jilin University, Changchun 130012, China, College of optical and electronical information, Changchun University of science and Technology, Changchun 130012, China ]
• Liguo Han [ College of Geoexploration Science and Technology Jilin University, Changchun 130012, China ]
• Junhua Yue [ Jilin Jianzhu University, Changchun 130012, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605