Convexity dependent morphological transformations for mode detection in cluster analysis

Author:

Zhang R.D,Postaire J.-G

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference17 articles.

1. Pattern Recognition: a Statistical Approach;Devijver,1982

2. Nonparametric learning without a teacher based on mode estimation;Mizoguchi;IEEE Trans. Comput. C-25,1976

3. The estimation of the gradient of a density function, with application in pattern recognition;Fukunaga;IEEE Trans. Inf. Theory IT-21,1975

4. A locally sensitive method for cluster analysis;Kittler;Pattern Recognition,1976

5. A convexity testing method for cluster analysis;Vasseur;IEEE Trans. Syst. Man Cybern. SMC-10,1980

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1. Convexity dependent anisotropic diffusion for mode detection in cluster analysis;Neurocomputing;2018-09

2. Fuzzy Mode Enhancement and Detection for Color Image Segmentation;EURASIP Journal on Image and Video Processing;2008

3. A Morphological Approach for Feature Space Partitioning;IEEE Geoscience and Remote Sensing Letters;2006-01

4. FAST COLOR IMAGE SEGMENTATION BASED ON LEVELLINGS IN FEATURE SPACE;Computational Imaging and Vision;2006

5. Classification;Morphological Image Analysis;2004

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