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Pulmonary nodule is a common lung disease, which can be prone to misdiagnosis and missed diagnosis. With the extensive application of CT technology, doctor's diagnostic efficiency has been greatly improved. However, the amount of CT image data is relatively large. Radiologists have to take a lot of time to read these images, and easy to overlook some minor lesions. Computer aided detection technology...
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 this study, a modified topology-adaptive snake (T-snake) is proposed for the segmentation of ultrasound image. The algorithm was improved as follows. First, the image is decomposed in the place which has offset from pixel's position while snake points are in pixel's position. This will reduce the task during calculating intersections between contour and ACID grid. Second, the rule to process topology...
In order to segment interest objects from multi-view images accurately, an epipolar plane image (EPI) analysis based object segmentation algorithm is proposed. Firstly, the straight lines in EPI are extracted by an improved Hough transform. Then, according to the depth of object, the corresponding straight lines are converted into original image space to get an initial contour. Following that, we...
Image segmentation is a long-term difficult problem, which hasn't been fully solved. Threshold is one of the most popular algorithms. Ant colony optimization algorithm (ACO) was recently proposed algorithm, which has been successfully applied to solve many combinatorial optimization problems. On the analysis of Ostu, we are aware that threshold selection can be viewed as a combinatorial optimization...
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