Content Based Image Retrieval with Wavelet and Gabor Transform mixing based on modulation factor
نویسنده
چکیده
Content-Based Image Retrieval (CBIR), also known as query by image content (QBIC) .Content-based image retrieval (CBIR) system helps users to retrieve relevant images based on their contents .Content based Image retrieval is one of the most exciting and fastest growing research areas. This paper proposes a new content based image retrieval system with wavelet and gabor transform mixing based on modulating factor. It controls the mixing of color and texture effect for retrieval.This method applies a weighted combination of color and texture to the wavelet transform based on spatial-color and second order statistics.The experiments show that the Gabor filters provide promising results and improves the effectiveness of image retrieval.
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