Earticle

초록

영어

In this paper, we proposed an automatic segmentation method of object color images with irregular texture. Recently segmentation often used for the image retrieval and in the application. It is more important to approximate the regions than to decide precise region boundary. A color image is divided into blocks, and edge strength for each block is computed by using the modified color histogram intersection method that has been developed to differentiate object boundaries from irregular texture boundaries effectively. The edge strength is defined to have high values at the object boundaries, while it is designed to have relatively low values at the texture boundaries or in the interior of a region. The proposed method works based on small-size blocks, the color histogram of each of which is computed preliminarily once. Thus it works fast but provides rough segmentation. A hybrid color quantization method is used to select a small number of appropriately quantized colors quickly. The proposed method can be applicable for the segmentation in object based image retrieval.

목차

Abstract
 1. Introduction
 2. Quantization of the Textured Color Image
 3. Component Value of the Block
  3.2. Color Component Value
  3.3. Texture Component Value
  3.4. Generation of Block Component Value Image
 4. Segmentation Using the Watershed Transformation
  4.1. The Watershed Transformation and Region Merging
 5. Experimental Results
 6. Conclusion
 Acknowledgements
 References

키워드

저자

• Chang-Min Park [ School of Undeclared Majors, YoungSan University, Busan, 612-743 Korea ]
• Chang-Geun Kim [ Department of Computer Engineering, Gyeongnam National University of Science and Technology, Jinju, 660-758 Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605