Journal of Computer Science · 2014 · 20 citations · 3 references
ComputingComputer ScienceComputer VisionDigital ImagingInformation RetrievalDigital Image ProcessingFeature ExtractionImage AnalysisImage RetrievalImage TextureTexture AnalysisColor Feature ExtractionContent-based Image RetrievalPrecisionRetrievalTexture Feature ExtractionVisual Feature ExtractionWavelet AnalysisWavelet-based Texture Analysis
In this study we proposes an effective content based image retrieval by color and texture based on wavelet coefficient method to achieve good retrieval in efficiency. Color feature extraction is done by color Histogram. The texture feature extraction is acquired by Gray Level Coocurence Matrix (GLCM) or Color Coocurence Matrix (CCM). This study provides better result for image retrieval by integrated features. Feature extraction by color Histogram, texture by GLCM, texture by CCM are compared in terms of precision performance measure.
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Classification of Feature Set Using K-means Clustering from Histogram Refinement Method
Youngeun An, Junguk Baek, Sangwook Shin et al. · 2008 · 13 citations