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Local patterns have two problems: 1) the traditional local patterns methods only consider the frequency of each pattern, and does not consider the co-occurrence information between adjacent pixels pairs in the image; 2)the traditional methods limit on the gray texture analysis, ignoring the importance of color information. To address above problems, a novel method is proposed for color image retrieval...
Water stress is the most common environmental threat that affects seedlings growing, so it has an important significance for seedlings' reasonable irrigation to study seedlings' water stress acoustic emission (referred to as AE) signal. However, the AE signal about water stress on seedlings is always generated with many kinds of interference noise, such as ambient noise, electric noise etc. It is...
Aimed at improving the accuracy of wavelet analysis which was used to detect the singularity of the signal, a new method for wavelet basis selection was proposed according to the characteristics of the signal: The regularity of the signal was expressed by the amplitude differential. Then the corresponding wavelet group was determined as candidates. The most suitable basis was obtained by comparing...
In this paper, we introduce a clustering algorithm for intrusion detection based on WaveCluster algorithm and an entropy-based characteristics screening algorithm. WaveCluster algorithm has a low time complexity when the data are low-dimensional, but on the contrary, the actual network data are high-dimensional. So we reduce the dimension of the network data using characteristics screening before...
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