6533b7d2fe1ef96bd125dfd0
RESEARCH PRODUCT
A Clustering Approach to texture Classification
V. Di Gesusubject
PixelComputer sciencebusiness.industryFeature vectorHomogeneity (statistics)Correlation clusteringComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONProbabilistic logicPattern recognitionImage textureComputer Science::Computer Vision and Pattern RecognitionSegmentationArtificial intelligenceCluster analysisbusinessdescription
In the paper a clustering technique to segment an image in to “homogeneous” regions is studied. The homogeneity of each region is evaluated by means of a “proximity function” computed between the pixels. The main result of such approach is that no-histogramming is required in order to perform segmentation. Possibilistic and probabilistic approaches are, also, combined to evaluate the significativity of the computed regions.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 1988-01-01 |