Wanzhong Chen

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Aiming at the complex background of coronary angiograms, weak contrast between the coronary arteries and the background, a new segmentation method based on transition region extraction is proposed. The paper analyzes the characteristic of coronary angiograms, and then 6 different Gaussian matched templates are used to enhance the coronary angiograms.(More)
—Aiming at weak contrast between the coronary arteries and the background, a new segmentation method based on fusion algorithm is proposed. Firstly, the coronary arteries are extracted by using the maximizing entropy segmentation method based on Top-hat. Then the coronary arteries are extracted again by using the maximizing entropy segmentation method based(More)
when initializing the background model with ViBe algorithm, the prospects for moving target in background area will also be treated as a background model, and Video stream in the next area will appear the phenomenon of ghost. Although ViBe algorithm provide the method of updated background model, slowed to eliminate ghost region. When the foreground object(More)
Aiming at the complex background of coronary angiograms, weak contrast between the coronary arteries and the background, a new segmentation method based on transition region extraction of degree is proposed. Firstly, the paper analyzes the characteristic of coronary angiograms. Secondly, 6 different Gaussian matched templates are used to enhance the(More)
BACKGROUND While the classification of multifunctional finger and wrist movement based on surface electromyography (sEMG) signals in intact subjects can reach remarkable recognition rates, the performance obtained from amputated subjects remained low. METHODS In this paper, we proposed and evaluated the myoelectric control scheme of upper-limb prostheses(More)
In this paper, in order to solve the existing problems of the low recognition rate and poor real-time performance in limb motor imagery, the integrated back-propagation neural network (IBPNN) was applied to the pattern recognition research of motor imagery EEG signals (imagining left-hand movement, imagining right-hand movement and imagining no movement).(More)