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Image segmentation is one of important steps on pattern recognition study in the course of wood across-compression. By comparing and studying processing methods in finding cell space and cell wall, this paper puts forward some image segmentation methods that are suitable for study of cell images of wood crossgrained compression. The method of spline function fitting was used for linking edges of cell,...
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,...
Numerous videos are uploaded on video websites; most of them employ several kinds of camera operations for expanding FOV, emphasizing events, and expressing cinematic effect. To generate a profile of heterogeneous types of videos, an automatic video profiling method has been proposed to include both spatial and temporal information in a 2D image scroll. In this paper, we propose a uniformed scheme...
Driver's fatigue and spirit distraction has become one of the most important causes for traffic accidents. The detection of drivers mouth state could offer a useful distinguish criterion for judge whether the driver is fatigue or spirit distraction. Based on our research foundation, a new method with certain environmental robustness for driver's face detection and location, mouth detection and location...
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