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» Image segmentation evaluation: A survey of unsupervised meth...
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MVA
2000
122views Computer Vision» more  MVA 2000»
15 years 1 months ago
Unsupervised Classification of X-Ray Mapping Images of Polished Sections
X-ray mapping images of polished sections are classified using two unsupervised clustering algorithms. The methods applied are the k-means algorithm and an extended spectral fuzzy...
Klaus Baggesen Hilger, Allan Aasbjerg Nielsen, Jen...
CORR
2002
Springer
90views Education» more  CORR 2002»
14 years 11 months ago
Mostly-Unsupervised Statistical Segmentation of Japanese Kanji Sequences
Given the lack of word delimiters in written Japanese, word segmentation is generally considered a crucial first step in processing Japanese texts. Typical Japanese segmentation a...
Rie Kubota Ando, Lillian Lee
CIVR
2003
Springer
156views Image Analysis» more  CIVR 2003»
15 years 5 months ago
Towards a Comprehensive Survey of the Semantic Gap in Visual Image Retrieval
This paper adopts the premise that the ‘semantic gap' is an incompletely surveyed feature in the landscape of visual image retrieval, and proposes a framework within which t...
Peter G. B. Enser, Christine J. Sandom
ERCIMDL
2000
Springer
147views Education» more  ERCIMDL 2000»
15 years 3 months ago
Map Segmentation by Colour Cube Genetic K-Mean Clustering
Segmentation of a colour image composed of different kinds of texture regions can be a hard problem, namely to compute for an exact texture fields and a decision of the optimum num...
Vitorino Ramos, Fernando Muge
78
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ICIP
2000
IEEE
16 years 1 months ago
Objective Evaluation of Relative Segmentation Quality
When working in image and video segmentation, the major objective is to design an algorithm producing the appropriate segmentation results for the particular goals of the applicat...
Paulo Correia, Fernando Pereira