Image Features Extraction Using The Dual-Tree Complex Wavelet Transform
نویسندگان
چکیده
In his/her daily round each man feels the necessity to use a database containing images. The user’s basic requirements reduce to the following. The image features extraction rate to be as much as possible, the accuracy degree to be high as well as the time for comparison between the image features to be minimum. Besides, for the needs of the modern image databases it is important the extracted features to be rotation and noise resistant. With the present paper we introduce a novel algorithm for image feature extraction using DT CWT for a CBIR system. The performed experiments show that the algorithm produces results which satisfy the conditions for feature extraction rate, feature vector length and high information concentration necessary for a CBIR system. Key-Words: The Dual-Tree Complex Wavelet Transform, DT CWT, wavelet transform, feature extraction, feature vector, image signature, DT CWT coefficients, wavelet coefficients, image decomposition
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