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COLOR TEXTURE CLASSIFICATION USING WAVELET TRANSFORM AND NEURAL NETWORK ENSEMBLES

ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING (Impact Factor: 0.37). 01/2009; 34.
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    • "One level of wavelet transform is applied to all three color planes (RGB) of the image . The energy and entropy values in each subband B, (BB HH, LH, HL, LL) are calculated as these values in the wavelet domain of the image capture the texture properties of an image and prove to be very useful for designing the classifier [10]. The average luminance of the image is also calculated since it helps to differentiate between the rust and non-rust pixels in images over a huge range of intensity values. "
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