✦ LIBER ✦

Color image segmentation using fuzzy integral and mountain clustering

✍ Scribed by T.D. Pham; H. Yan

Publisher: Elsevier Science
Year: 1999
Tongue: English
Weight: 592 KB
Volume: 107
Category: Article
ISSN: 0165-0114
DOI: 10.1016/s0165-0114(97)00318-7

No coin nor oath required. For personal study only.

✦ Synopsis

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 initial estimate of cluster centers for the segmentation process. Segmentation results using the proposed method will depend on the griding of the image space, which specifies the degree of detail in the segmentation process.@

📜 SIMILAR VOLUMES

Color image segmentation using morpholog

Color image segmentation using morphological clustering and fusion with automatic scale selection

✍ O. Lézoray; C. Charrier 📂 Article 📅 2009 🏛 Elsevier Science 🌐 English ⚖ 1017 KB

Multivariate image segmentation based on

Multivariate image segmentation based on geometrically guided fuzzy C-means clustering

✍ J. C. Noordam; W. H. A. M. van den Broek 📂 Article 📅 2002 🏛 John Wiley and Sons 🌐 English ⚖ 402 KB

Audio signal segmentation and classifica

Audio signal segmentation and classification using fuzzy c-means clustering

✍ Naoki Nitanda; Miki Haseyama; Hideo Kitajima 📂 Article 📅 2006 🏛 John Wiley and Sons 🌐 English ⚖ 619 KB

## Abstract This paper proposes a method of segmentation and classification of audio signals which is coded by MPEG Audio. The proposed method first detects the boundaries between two different audio signals, which are called audio‐cuts, and then classifies segments, which are called audio‐segments

Segmentation of map image using opponent

Segmentation of map image using opponent color dimensions

✍ Ningyan Liu; Hong Yan; Paul Martin 📂 Article 📅 1996 🏛 John Wiley and Sons 🌐 English ⚖ 622 KB

## Segmentation of Map Image Using Opponent Color Dimensions * This article describes a method for segmentation of color geographic map images based on color opponencv. In this method, a color-map image is transformed into a color opponent representation as proposed for human vision. The color con

Linguistic color image segmentation usin

Linguistic color image segmentation using a hierarchical Bayesian approach

✍ Teresa E. Alarcón; José L. Marroquín 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 915 KB

Automatic glioma characterization from d

Automatic glioma characterization from dynamic susceptibility contrast imaging: Brain tumor segmentation using knowledge-based fuzzy clustering

✍ Kyrre E. Emblem; Baard Nedregaard; John K. Hald; Terje Nome; Paulina Due-Tonness 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 931 KB

## Abstract ## Purpose To assess whether glioma volumes from knowledge‐based fuzzy c‐means (FCM) clustering of multiple MR image classes can provide similar diagnostic efficacy values as manually defined tumor volumes when characterizing gliomas from dynamic susceptibility contrast (DSC) imaging.