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CVPR
1999
IEEE
16 years 3 months ago
Histogram Clustering for Unsupervised Image Segmentation
This paper introduces a novel statistical mixture model for probabilistic grouping of distributional histogram data. Adopting the Bayesian framework, we propose to perform anneale...
Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann
116
Voted
ICIP
2001
IEEE
16 years 3 months ago
Improving a genetic algorithm segmentation by means of a fast edge detection technique
Thispaper presents a new hybrid range image segmentation approach. Two separate techniques are applied consecutively. First, iin edge based segmentation technique extracts the edg...
Angel Domingo Sappa, Vitoantonio Bevilacqua, Miche...
ICPR
2004
IEEE
16 years 3 months ago
Serialized Unsupervised Classifier for Adaptative Color Image Segmentation: Application to Digitized Ancient Manuscripts
This paper presents an adaptative algorithm for the segmentation of color images suited for document image analysis. The algorithm is based on a serialization of the k-means algor...
Frank Le Bourgeois, Hubert Emptoz, Yann Leydier
APBC
2003
15 years 3 months ago
Microarray Image Processing Based on Clustering and Morphological Analysis
Microarrays allow the monitoring of expressions for tens of thousands of genes simultaneously. Image analysis is an important aspect for microarray experiments that can affect sub...
Shuanhu Wu, Hong Yan
98
Voted
ICIP
1999
IEEE
16 years 3 months ago
Unsupervised Low-Frequency Driven Segmentation of Color Images
This paper presents an algorithm for unsupervised segmentation of color images. The main idea behind it is the use of the low-frequency content of images which allows for smoothin...
Luca Lucchese, Sanjit K. Mitra