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The cellular neural/nonlinear network (CNN) is a powerful tool for image and video signal processing, robotic and biological visions. The robust designs for CNN templates are important issue for the practical applications of the CNN. The fingerprint feature extraction (FFE) CNNs are two kinds of CNNs, which are able to extract the endings and bifurcations in patterns, two important features in a fingerprint...
We developed a new method to improve visual similarity between a queried mass region and a set of reference regions selected by computer-aided diagnosis (CAD) schemes. For each queried region, CAD scheme first segmented the region, detected its boundary spiculation level, and computed 14 image features. The scheme then used a k-nearest neighbor algorithm to select a set of 25 most "similar"...
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