𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Color image segmentation: advances and prospects

✍ Scribed by H.D. Cheng; X.H. Jiang; Y. Sun; Jingli Wang

Publisher
Elsevier Science
Year
2001
Tongue
English
Weight
255 KB
Volume
34
Category
Article
ISSN
0031-3203

No coin nor oath required. For personal study only.

✦ Synopsis

Image segmentation is very essential and critical to image processing and pattern recognition. This survey provides a summary of color image segmentation techniques available now. Basically, color segmentation approaches are based on monochrome segmentation approaches operating in di!erent color spaces. Therefore, we "rst discuss the major segmentation approaches for segmenting monochrome images: histogram thresholding, characteristic feature clustering, edge detection, region-based methods, fuzzy techniques, neural networks, etc.; then review some major color representation methods and their advantages/disadvantages; "nally summarize the color image segmentation techniques using di!erent color representations. The usage of color models for image segmentation is also discussed. Some novel approaches such as fuzzy method and physics-based method are investigated as well.

πŸ“œ SIMILAR VOLUMES

Unsupervised color-texture image segment
Unsupervised color-texture image segmentation
✍ Sheng-yang Yu; Yan Zhang; Yong-gang Wang; Jie Yang πŸ“‚ Article πŸ“… 2008 πŸ› Chinese Electronic Periodical Services 🌐 English βš– 378 KB
Color image segmentationβ€”an innovative a
Color image segmentationβ€”an innovative approach
✍ Tie Qi Chen; Yi Lu πŸ“‚ Article πŸ“… 2002 πŸ› Elsevier Science 🌐 English βš– 588 KB

In this paper we describe a color image segmentation system that performs color clustering in a color space and then color region segmentation in the image domain. For color segmentation, we developed a fuzzy clustering algorithm that iteratively generates color clusters using a uniquely de"ned fuzz

Color image segmentation using fuzzy int
Color image segmentation using fuzzy integral and mountain clustering
✍ T.D. Pham; H. Yan πŸ“‚ Article πŸ“… 1999 πŸ› Elsevier Science 🌐 English βš– 592 KB

This paper presents a flexible model for the segmentation of color image data using the fuzzy integral and the mountain clustering. Fuzzy integral is used as a "distance" measure in the mountain clustering applied to find representative regions in the image. The proposed approach does not require an