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基于Snake 模型的图像分割技术是近年来图像处理领域的研究热点之一。Snake 模型承载上层先验知识并融合 了图像的底层特征,针对医学图像的特殊性,能有效地应用于医学图像的分割中。本文对各种基于Snake 模型的改进算法和 进化模型进行了研究,并重点梳理了最新的研究成果,以利于把握基于Snake 模型的医学图像分割方法的脉络和发展方向。-Snake model based on image segmentation image processing technology in recent years one of the hot areas of research. Snake model bearing a priori knowledge of the upper and bottom of the convergence of image features, for the specificity of medical images can be effectively applied to medical image segmentation. In this paper, model-based Snake improved algorithm and evolutionary models were studied and focused on combing the latest research results, in order to grasp the Snake model based on medical image segmentation method of context and direction of development.
Date : 2025-12-13 Size : 465kb User : 赵希成

This program use segmentation and filtre methode for angiographie image to detect heart vessel.
Date : 2025-12-13 Size : 431kb User : rajrouja

the segmentation is a process which like to segment the data at each partition of block .in this we have colour image by which is segment the data
Date : 2025-12-13 Size : 282kb User : thiru

医学图像处理;灰度直方图;边缘检测;灰度变换;图像增强;图像分割;-medical image processing edge detection gray-scale transformation image enhancement image segmentation
Date : 2025-12-13 Size : 7.75mb User : 胡亚铭

Image segmentation with gui
Date : 2025-12-13 Size : 33kb User : ndrt

MRI brain image segmentation
Date : 2025-12-13 Size : 429kb User : burak

MRI brain image segmentation project
Date : 2025-12-13 Size : 1kb User : burak

The goal of this project is to develop an image segmentation system for brain MRI images by integrating and adapting existing segmentation techniques. The project will combine principles image processing, neuromechanics, and stochastic inverse modeling to de- velop a robust algorithm for edge detection and extraction in brain MRI.-The goal of this project is to develop an image segmentation system for brain MRI images by integrating and adapting existing segmentation techniques. The project will combine principles image processing, neuromechanics, and stochastic inverse modeling to de- velop a robust algorithm for edge detection and extraction in brain MRI.
Date : 2025-12-13 Size : 12.93mb User : sairam

Steps: 1) Select a cropped region to set segmentation parameters 2) Do a pre-processing step on the cropped region 3) Compute the axon segmentation on the cropped region 4) Perform an axon discrimination to get rid of false positives 5) Perform the myelin segmentation on the cropped region 6) Apply the segmentation parameters to the full image (axon & myelin segmentation).-Steps: 1) Select a cropped region to set segmentation parameters 2) Do a pre-processing step on the cropped region 3) Compute the axon segmentation on the cropped region 4) Perform an axon discrimination to get rid of false positives 5) Perform the myelin segmentation on the cropped region 6) Apply the segmentation parameters to the full image (axon & myelin segmentation).
Date : 2025-12-13 Size : 107kb User : AwesomeGraceGift
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