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CAIP
1995
Springer
189views Image Analysis» more  CAIP 1995»
15 years 8 months ago
Spatial and Feature Space Clustering: Applications in Image Analysis
We propose a novel approach to image segmentation, called feature and spatial domain clustering. The method is devised to group pixel data by taking into account simultaneously bo...
Jiri Matas, Josef Kittler
MM
1996
ACM
538views Multimedia» more  MM 1996»
15 years 8 months ago
Comparing Images Using Color Coherence Vectors
Color histograms are used to compare images in many applications. Their advantages are efficiency, and insensitivity to small changes in camera viewpoint. However, color histogram...
Greg Pass, Ramin Zabih, Justin Miller
CGF
2007
102views more  CGF 2007»
15 years 4 months ago
Image Dequantization: Restoration of Quantized Colors
Color quantization replaces the color of each pixel with the closest representative color, and thus it makes the resulting image partitioned into uniformly-colored regions. As a c...
Tae-hoon Kim, Jongwoo Ahn, Min Gyu Choi
ICIP
2005
IEEE
16 years 6 months ago
Similarity-based and perception-based image segmentation
In this paper, we present a segmentation method that provides perceptually relevant partitions without any a priori knowledge of the image content: first a local homogeneity analy...
Jérémy Huart, Pascal Bertolino
ICIP
2003
IEEE
16 years 6 months ago
Unsupervised Bayesian image segmentation using wavelet-domain hidden Markov models
In this paper, we study unsupervised image segmentation using wavelet-domain hidden Markov models (HMMs). We first review recent supervised Bayesian image segmentation algorithms ...
X. Song, G. Fan