We propose a motion segmentation algorithm that aims to break a scene into its most
prominent moving groups. A weighted graph is constructed on the image sequence by …

We present a new graph-theoretic approach to the problem of image segmentation. Our
method uses local criteria and yet produces results that reflect global properties of the …

We propose a new image feature called the color correlogram as a generic color-spatial
indexing tool to tackle various problems that arise in content-based image retrieval and …

Orgaag@ es into semantic categories can be@ emely use-M for searching and browsing
through large collations ofitnages. Not much work has been done on automatic image …

This paper presents a generic method for perceptual grouping and an analysis of its
expected grouping quality. The grouping method is fairly general: It may be used for the …

We present a stochastic clustering algorithm based on pairwise sim (cid: 173) ilarity of
datapoints. Our method extends existing deterministic methods, including agglomerative …

This paper addresses the problem of segmenting an image into regions. We develop a
framework for image segmentation based on the intuition that there should be evidence for a …

Abstract [Truncated] This thesis addresses image and video sequence segmentation, with
emphasis placed on three topics: still image low-level segmentation, video object plane …

Surface homeomorphisms with zero-dimensional singular set Page 1 TOPOLOGY AND ITS
Topology and its Applications 90 (1998) 69-95 APPLICATIONS Surface homeomorphisms …

In this paper, we present a rule-based fuzzy segmentation system that is capable of
segmenting magnetic resonance (MR) images of diseased human brains into …