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Contour representation is an important application in image compression, template matching, object detection and recognition. However, it is far from meeting the current requirement due to the expensive computational cost and complex noise in the real-world application. In order to make contour representation more practical, we propose a novel approach of abstracting contours of the objects in an...
In this paper, a disc-shaped power tree is optimized by minimizing the overall resistance under the condition of the fixed entire disc area and the given tree structure. The resistance as function of geometry parameters and the pairing level n (complexity) is obtained. Then a disc power plane is designed based on the designed disc-shaped power tree. The DC performances for solid plane and the designed...
Recently, a new method that slow feature analysis (SFA), which can extract slowly varying feature of temporally varying signals, has been explored. SFA method is an extension of independent component analysis (ICA), which has been used to separate blind source signals. In this article, we present a simple and efficient SFA based method to separate blind signals according to their different smooth...
This paper proposes a novel approach to blind image separation. By using the property that the near pixels have close correlation, blind image separation is formulated to diagonalize several difference correlation matrices. Two algorithms are proposed based on generalized eigen-decomposition and a joint approximate diagonaliztion method respectively. The key point of our method is the formulation...
In clustering analysis, many methods require the designer to provide the number of clusters. Unfortunately, the designer has no idea, in general, about this information beforehand. In this paper, we propose a genetic algorithm based clustering method called automatic genetic clustering for unknown K (AGCUK). The AGCUK algorithm is able to automatically provide the number of clusters and find the clustering...
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