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We propose a novel texture feature extraction technique based on coefficients' co-occurrence histogram of discrete wavelet frame transformed image, which capture the information about relationship between each high frequency subband and the low frequency subband of the decomposed image at the corresponding level. It is not independently utilizing the information of each subband coefficient. The classification...
Corner detection is a critical and basic task in computer vision and image processing. By far the existing boundary-based wavelet transform approaches can not directly be utilized in gradient image because the theories are mainly about 1-D wavelet transform. We put forward a novel corner detection technique based on 2-D discrete wavelet transform. The corners are extracted by several preset thresholds...
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