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In this paper, an interactive image segmentation method is proposed base on the kernel density feature estimation. Compared with the traditional RGB value, it could be more accurate to model the color feature of pixel using corresponding kernel density estimation. To obtain the regional color feature, the mean of kernel densities of all pixels in this region is applied, and Bhattacharyya distance...
Industrial computed tomography (ICT) is a device which examines the internal structures of industrial components without destroying them. However, lots of artifact and noise usually exist in the industrial CT image and troubles are brought on the visualization and classification of industrial CT volume data at the same time. Image segmentation for Industrial CT images is one of the most important...
In this paper, a robust gait recognition algorithm based on key frame and ellipse model is proposed, which solves the problems including finding key frames on discontinuous contour segmentation and accurate feature extraction on ellipse model. Firstly, a robust extraction algorithm of key fame is introduced, which makes detection of key fames easier and more accurate. Secondly, human bodies corresponding...
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...
In hard thresholding to scale multiplication, it is believed that the signal multiscale product must be positive and the negative correlation between adjacent scales is produced by noise. However, there is still some negative signal correlation between adjacent scales. Here, this phenomenon is deeply analyzed in typical circumstances of two dimensions. On the ground of studying negative signal correlation,...
The classification step used to assign the appropriate opacity to each voxel is very important in the volume rendering. A new classification algorithm for volume data, which is based on minimum cross entropy, is proposed in this paper. Firstly, the volume data is constructed from a series of sequential two-dimension industrial CT images and the histogram of the volume data is computed. Secondly, the...
The vision based cybercar named JLUIV-V is an electric automatic intelligent vehicle developed by Jilin University. This paper first describes the system structure, the design of the navigation line and the numerals. Then, the image segmentation algorithms for variable illuminations and the BP neural network algorithm classifier are introduced. Some image segmentation results of different images under...
In order to identify navigation lane for an intelligent vehicle more rapidly and exactly, the lane mark edge lines are firstly detected based on Zernike moments, and then lane mark feature points are gained according to certain characters. Based on these points, lane mark line parameters can be acquired rapidly and exactly by using linear regression algorithm. Finally lane mark real-time tracking...
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