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This paper proposed a cerebrovascular segmentation model based on region growing and level set. Firstly, a statistics and region growing model is used to detect the vessel region. During the process, a Maximum Intensity Projection (MIP) image from volume data is segmented by Otsu algorithm to get the seeds, and then to get the contour of vessel by an improved region growing algorithm. Moreover, an...
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...
Exploring the factors that affect the Network Technology Resources Quality Evaluation, we establish index system of the network model and evaluation model for the Network Technology Resources Quality Evaluation by using hierarchical analysis, Gray and Fuzzy.
Traditional curvature scale space (CSS) corner detection algorithms did not differentiate various physical causes of image differential structure, therefore these algorithms could not detect corners correctly in color image with shadows and highlights. According to the problem above mentioned, dichromatic reflection model was applied to differentiate image differential structure and multi scale localization...
Insect recognition is the basis of crop pest and disease control. Traditional insect recognition methods are time-consuming and hard-labor. Automatic machine insect recognition can solve the problem. In this paper, spectral regression LDA is used to reduce high dimension spaces of insects images, and get insect feature subspace. Then coefficient vector in the subspace is taken as the input of KNN...
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...
Automatic insect recognition are time-saving and labor-saving and global feature extraction algorithms have been used for recognition. However, local features based automatic insect recognition is not studied. Therefore, in our research, SURF algorithm is used to extract local features of insect images and then the features are taken as input of multi-scale histogram algorithm. The experimental results...
Because the most algorithms of real color image enhancement did not relate to the spectral sensitivity of most people vision, the color restoration functions of some real color image enhancement algorithms are greatly at random and not proved, and the enhanced real color images which are based on illumination-reflectance model have the loss of details and the dasiahalospsila, we proposed a new algorithm...
Because the greatly most algorithms of real color image enhancement did not relate to the spectral sensitivity of most human vision, the color restoration functions of some real color image enhancement algorithms are greatly at random and not proved , and the real color images enhanced which are based on illumination-reflectance model have the loss of details and the dasiahalospsila, we proposed a...
Because the color restoration functions of real color image enhancement are greatly at random and not proved, and the enhanced real color images which are based on illumination-reflectance model have the loss of details and the 'halos', we proposed a new algorithm to overcome these disadvantages. Firstly, we transform the real color image from RGB space to HSV space which is approximately orthonormal...
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