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For the 3D brain MRI parameterized statistical model segmentation method, the pre-processing method of brain image is brought forward for the model. First the DWM(directional weighted median) filter and Gaussian template are used to de-noise the brain MRI image. Then the Laplacian operator is used to sharpen the image, and the Robert operator is used to realize the edge detection, which can improve...
Medical image segmentation has been a hot spot in recent years. And the segmentation of brain vessels image becomes a key-problem due to its complicated structure and small proportion. In this paper, the brain MRI images are processed with statistical analysis technology, and then the accuracy of segmentation is improved by the random assortment iteration .First the MIP algorithm is applied to decrease...
In the recent years, the undergraduates addict themselves to the network and idle away their education has been a it has been a pin pot to the society. Many investigations and researches have been done to that question in the paper. And psychology theory has been used to analyze the reasons caused the question based on the amount of data. At last the correlative measures and treatments have been provided...
The task of image segmentation is to partition an image into non-overlapping regions based on intensity or textural information. The active contour methods provide an effective way for segmentation, in which the boundaries of the objects are detected by evolving curves. In this paper, we propose a new region-based active contour model, which is based on the image global information for the stopping...
The layered control architecture is designed for the need of the multirobot intelligent team formation. There are three levels: the cooperation task level, the coordination behavior level and the action planning level. The cooperation task level is using the potential grid method, which improves the safety of the path and reduces the calculation complexity. The coordination behavior level is using...
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