A Fuzzy Mapping from Image Texture to Affective Thesaurus
Most of the image analysis methods focus on affective information by using color. In this paper a new indexing scheme, called FRD (Fuzzy Recognize Degree)-Clustering is proposed for affection-assisted semantic image analysis on the basis of the texture feature. A set of perceptual relevant features, used for indexing is hence introduced: directionality, contrast and coarseness. This FRD scheme allows us to retrieve images based on high-level affective concepts. Experiments with images of the nature and landscape domain demonstrate the performance of the proposed approach.
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