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Currently, it is an effective means of collecting diseases information from mural collections by using edge detection and manual interpretation. But it is hard to extract better edges of mural diseases with existing edge detection algorithms. Therefore, a new K-Means Sobel algorithm is proposed. Firstly, we process a gray orthophoto map with K-means clustering algorithm to obtain a gray value matrix...
Image with MPEG-7 descriptors as features may loss local details. In this work, we combine MPEG-7 descriptors with local feature key points to cover both global and local image characteristics. Images are classified by a Radial Basis Function Neural Network (RBFNN) trained via a minimization of Localized Generalization Error Model (L-GEM). In this paper, we extract local feature key points by the...
RFID identification has been widely adopted in access control. This kind of card or tag based approaches has a major drawback that anyone could get access with the card. In this work, we propose a neural network based face recognition system as the second access control to make sure the person granted access matches the ID on the RFID card. In this preliminary work, the face of accessing person is...
A new method based on permutation entropy and grey level feature is provided in this paper. Permutation entropy is a new complexity measure for time series based on comparison of neighbouring values. The definition applies to describe the texture feature of image. The new complexity measure feature combines with the grey-scale mean and grey-scale deviation, construct multi-dimension feature vector...
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