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In this paper, we present a novel multi-scale and multi-position classification (MSPC) method for detection of clustered pleomorphic micro-calcifications in digital mammograms. With this method, mammograms are divided into sub-images from which the image features are extracted and a cascaded Support Vector Machine (SVM) classifier is used to detect pleomorphic calcifications. Using the MSPC method,...
A new method is proposed for speckle noise suppression and water objects extracting from synthetic aperture radar (SAR) imagery based on sequential nonlinear filtering and independent component analysis. The distribution of SAR image data with multiplicative speckle noise is non-Gaussian and its parameters are unknown. Logarithmic quantification is utilized to transform multiplicative speckle noise...
Adaptive signal processing, an important branch in the Signal and Information Processing field, is widely used in the signal processing in digital communication owning to its superiority. While this paper point out the defect of this algorithm on the basis of the adaptive local noise elimination filtering algorithm introduced by American Professor Rafael C. Gonzalez and put forward a new improved...
With powerful computer, high-resolution digital cameras, and sophisticated photo editing software, users can easily manipulate and alter digital images as they wish. Although good forgeries may not be perceptible by human eyes because no visual clues of tampering are left, they may leave some traces of digital tampering that could not be avoided in the media during tampering process. Most digital...
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