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In order to simply and effectively extract important feature information and improve the accuracy of microscopic image recognition of Chinese Herbal Medicine (CHM), a kind of microscopic image enhancement technique of CHM based on fuzzy sets is put forward. Fuzzy set describes the vague degree of information, which study the different objects belong to the same class of membership relations. Implementation...
The experimental methods of psychology provides a basis of computer vision simulation, because it can reveal the law of human visual information processing. The shape and color are important features of stimulations, which are very crucial for the identification of stimulations. This study is based on the experimental psychology and BP neural networks, use experimental methods of reaction time measurements...
The consumption of watermelon relies on the guarantee of a high quality product recently. In internal and external qualities of melons, maturity is the most important factor, which is hard to evaluate. The objective of this research was to develop a feasible non-destructive procedure for ripeness detection based on the feature of acoustic impulse response. Four features/parameters were examined for...
Feature extraction (FE) methods have been proved to be very effective for dimension reduction, but the features attained are meaningless. In order to exploit the effectiveness of FE methods to support feature selection (FS), this paper proposed a new FS approach for clustering based on principal component analysis (PCA) called PS. It first uses PCA to transform the data from original feature space...
Feature selection is an important task in machine learning, pattern recognition and data mining. This paper proposed a new feature selection method for classification, named SD, which is based on scatter matrix used in linear discriminant analysis. The main feature of SD is its simplicity and independency of learning algorithms. High-dimensional data samples are first projected into a lower dimensional...
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