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In this paper, we develop a computer aided diagnosis algorithm to detect and classify the abnormalities in lung CT examination. We focus on analyzing the pulmonary nodules CT data and help the medical experts improve the accuracy of medical diagnosis with our analysis tool. To achieve this, we take into account the advantage of sparse representation in medical signal and design a novel deep sparse...
For solving the problem of performance degradation assessment of train rolling bearings, the degradation pattern recognition and assessment method based on segmentation vote and SVM was proposed. Firstly, in order to obtain effective features indexes of bearing performance degradation, with the collected vibration acceleration data, the data was decomposed by LMD and state features were extracted...
An accurate interpretation of partial discharge (PD) signals in high voltage (HV) equipment provides crucial information for assessing the insulation conditions. To automate the interpretation process, feature extraction of PD signals and pattern recognition using the extracted features are required. This paper adopts discrete wavelet transform (DWT) and empirical mode decomposition (EMD) for signal...
The voluminous data analysis is an obstacle for video indexing and retrieval, a novel method based on video frame difference is proposed to make the fast indexing: firstly frame clustering with FSVM is used to extract the important scene in video; secondly the scenes are labelled with characteristic features; finally, the associated rule data-mining is used to fabricate the last video analysis. The...
Ship detection involves two correlated tasks — ship target detection and ship wake detection. This paper proposes a method for automatic ship wake detection from SAR image. A localized Radon transform is processed around the ship target to detect linear features after ship target detection. It can smooth the speckle noise and improve the SNR in Radon transform space. So the false alarms can be reduced...
To extract finger vein features effectively and efficiently, a novel algorithm based on oriented filter for finger vein extraction is proposed. The proposed algorithm calculates a direction map and uses a group of designed oriented filters to facilitate the extraction of the characteristic vein pattern from the enhanced finger vein image. Experimental results show that this new algorithm not only...
Based on the characteristics of wavelet transform (WT), wavelet moment (WM), horizontal and vertical two-dimensional principal component analysis ((2D)2PCA), a new method of finger vein recognition is proposed. Firstly, the original images are decomposed into high-frequency and low-frequency components through WT, and the wavelet moment is extracted. Secondly the image feature matrix of low-frequency...
Aiming at oil-film instability fault often occurring in the project, fault simulation experiment was simulated by using a rotor test rig, and vibration signals of two groups were collected by adjusting thickness of disc and shaft length. Fault features were extracted by using spectrum cascades, reassigned wavelet scalograms and rotor trajectories. Some new interesting features are obtained by feature...
In practical rotor systems, rotor-stator rub-impact may occur because crack fault causes the increase of vibration amplitude, which is called coupling fault with crack and rub-impact. The vibration signal is non-stationary due to the strong nonlinear characteristics of the coupling fault. In this paper, a rotor test rig was designed to research on nonlinear vibration characteristics of rotor systems...
Query expansion (QE) is one of the most important mechanisms in the information retrieval field. A typical QE method usually redefines the query with related terms. These techniques suffer from retrieval performance degradation due to imprecise choice of query's additive terms in the QE process. Semantic expansion is proposed to improve query precision, while the expansion concept is hard to be obtained...
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