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a-level-set-inariable-distance
- 李春明提出的无需水平集初始化的思想是图像分割的一个重大突破，重庆大学的何传江教授对该算法进行了改进，里面是我的实现算法-Li Chunming s no need to initialize the idea of the level set image segmentation is a major breakthrough, Chongqing University, Professor He Chuanjiang to improve the algorithm
OpenCvLevelSetSegmentation
- This program contains function Distance Regularized Level Set Evolution (DRLSE) that make it very clearly identify the boundaries of the object.
lvbochaosheng
- 对李纯明的DRLSE进行了改进 利用各向异性扩散提高了分割弱边缘的能力 改进的高斯滤波代替惩罚项 加快了演化速度 节省了时间-The DRLSE to LiChunMing improved using anisotropic diffusion improve the segmentation of improvement of the ability weak edge gaussian filtering instead of penalty term accelerated evolut
DRLSE
- Redistribution and use in source and binary forms, with or without modification, are permitted provided
DRLSE_v0
- is Matlab code implements a new level set formulation, called distance regularized level set evolution (DRLSE), proposed by Chunming Li et al s in the paper "Distance Regularized Level Set Evolution and its Application to Image Segmentation", IEEE Tr
segmentation
- 这是图像处理，Matlab代码实现了一个新的水平集配方，称为距离正规化水平集演化（DRLSE），在论文“的距离正则提出图像分割的水平集演化及其应用-This Matlab code implements a new level set formulation, called distance regularized level set evolution (DRLSE), proposed by Chunming Li et al s in the paper "Distance Regular
DRLSE
- matlab code for Distance Regularized Level Set Evolution
DRLSEBasedMovingObjectSegmentation
- 一种基于改进DRLSE的运动目标分割方法,为了得到精准、连续的运动目标轮廓，提出将帧间差分法和改进的距离规则水平集演化(DRLSE)方法结合应用于运动目标分割。-In order to get an accurate and continuous contour of moving target, a novel method to segment moving object by combining the frame difference and an improved distance r
Distance-Regularized-Level-Set
- 水平集方法是一种先进的图像分割方法。这个matlab代码演示了一个基于边缘的活动轮廓模型，是下面一篇带距离正则化的水平集方程论文的应用： C. Li, C. Xu, C. Gui, M. D. Fox, Distance Regularized Level Set Evolution and Its Application to Image Segmentation , IEEE Trans. Image Processing, vol. 19 (12), pp. 3243-3254,
DRLSE_Tumor
- DRLSE对脑肿瘤分割：提供一张真实的脑部肿瘤MRI图像做测试，可以手动勾画出是轮廓，初始轮廓勾画的越精准，迭代次数要求越低，效果越好(DRLSE segmentation of brain tumors)
DRLSE_v0
- 李纯明博士的改进算法，实现局部区域分割，DRLSE(Dr. Li Chunming's improved algorithm for local region segmentation, DRLSE)