Features extraction and supervised classification intended to image retrieval
نویسندگان
چکیده
This work propose a method of heterogeneous image retrieval based on a combination of features vectors. The features extraction results from image segmentation, color histograms and texture which based on wavelet transform. Three classifiers were tested and the results are highlighted with a real improvement at the level of the relation between accuracy and computing times.
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