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Automatic segmentation of the Epicardium and Endocardium plays an important role in the diagnosis of myocardial ischemia. Due to the speckle noise of ultrasound images and the complexity of cardiac tissue, the segmentation is still manual or semi-automatic. A fully automatic segmentation method based on Convolutional Neural Network (CNN) is proposed in this paper: localization segmentation method,...
This letter proposes a novel scheme for spatial steganalysis based on contrast of residuals (CoR). After selecting complex blocks from an uncompressed image by a fluctuation function, the residuals are calculated from the selected blocks and the whole image after applying diverse filters. The CoR is represented as an angle and the norm of residuals is considered as the corresponding weight of angle,...
Gear mechanisms are an important element in a variety of industrial applications. An unexpected failure of the gear mechanism may cause significant economic losses. Efficient incipient faults detection and accurate faults diagnosis are therefore critical to machinery normal running. In this paper a novel method is presents to enhance the detection and diagnosis of gear multi-faults based on Autoregressive...
Nowadays, the water quality control in intensive aquaculture is mostly based on single factor in china. The interactions among water factors are often ignored. In this paper, a water environment monitoring system based on BP neural networks is presented, which uses multiple water factors to evaluate whether the water environment is suitable for shrimp growth. In the paper, the whole architecture of...
Facial attribute-specific subspace-based PCA (FASS-based PCA) considers the information of class labels, and the discriminant power can be improved. However, it doesn't consider the outliers which are .common in realistic training sets. To address this problem, we propose robust facial attribute-specific subspace-based PCA (robust FASS-based PCA) algorithm in this paper, which gives a new weighted...
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