搜索资源列表
creatimage
- createimage函数实现当前零水平集（演化曲线）在原图上的显示和嵌入函数u的重新初始-Createimage functions implementing the current zero level set (curve evolution in the display on the original) and inline function u initial again
AMLE_level_set_interp
- 这个程序实现AMLE方法的图像插值。首先，通过入口从输入图像得到一定数量的水平集。起点只是自动选择的。然后，每个水平集的边界被提取出来，图像边界上的数据被记录。最后，通过使用ＡＭＬＥ扩展这些信息重建一个非常接近原图像的新的图像。-This program implement image interpolation by AMLE method. Firstly, get a number of level sets from an input image by thresholdding. Th
nonideal-iris-recognition
- 一篇有关使用水平集方法分割虹膜之后用遗传算法提取虹膜特征值并使用不对称的SVMs来进行匹配的虹膜识别算法的文章-A level set method for the use of the genetic algorithm after the split iris iris feature extraction and use of asymmetric SVMs value to match the iris recognition algorithms article
Iris-segmentation
- 一篇主要介绍使用变量水平集方法进行虹膜分割的文章，之后也有其相应的归一化算法介绍以及特征提取及少部分的虹膜匹配-Introduced a level set method using the variable iris segmentation article, and then there are the corresponding normalization algorithm descr iption and a small number of feature extraction and
active-contour-level-set
- 水平集方法图像处理窄带技术Matlab代码实现-Narrow band level set method image processing technology Matlab code
matlab_toolbox_fast_marching
- 水平集的图像分割若干程序,大家可以参考参考-level set
image-segmentaion-of-level-set
- 本文按照水平集算法在图像分割中应用的发展历程将其分为3种情况进行了综述,以此为该领域读者提供借鉴。-according to the deveopment of the image segmentation methods based on level set , this algorithm is introduced for readers of different backgrounds in this field to use.
level-set
- 水平集做图像分割的一个源程序，大家可以参考-levelset method
level-set-and-dynamic-implicit
- 水平集方法和动态抽象表面，英文版的，需要的话相信不用翻译-level set methods and dynamic implicit surfaces
level-set
- 水平集分割图像的一种算法，属于比较前沿的一种图像分割方法。-A level set image segmentation algorithm, a relatively cutting edge of a segmentation method.
levelsetcode
- 基于Li模型的水平集图像分割方法，无需重新初始化，提高了图像分割的效率。-Li model based on the level set method of image segmentation, without reinitializes the, improve the efficiency of the image segmentation.
cv2
- 本程序采用半隐式方案实现变分水平集图像分割方法中的“C-V”模型(Active contour without edge)-This program uses the program to achieve semi-implicit variational level set image segmentation methods " CV" model (Active contour without edge)
level-set-method
- 介绍了水平集方法及其在图像分割中的应用，并对水平集方法进行了展望-Introduced the level set method and its application in image segmentation, level set methods and prospects
LevelSet_ChunmingLi_v1
- 去初始化的水平集函数动态移动目标检测算法-level set function
CV1
- 基于Mumford-Shah模型的水平集图像分割的改进算法，能够很好的分割图像内部孔洞并快速收敛-Mumford-Shah model based on the level set image segmentation of the improved algorithm, segmented image can be very good and fast convergence of the internal pore
AMLE_level_set_interp
- AMLE在图像处理中一种可能的直接应用是图像编码压缩。如果我们只保留一副图像的N个水平集的边界数据，那么利用AMLE就可重构一副新图像，它在上述N个水平集的边界上的值，将与新图像的值相等，而其余的像素的灰度值是有AMLE插值计算得到的。-AMLE in image processing is a possible direct application of image encoding. If we keep only one image of the N-level set of bounda
CV-model-source-code
- CV模型源代码, 用水平集进行图像分割。一个经典的算法。-matlab source code of CV model
topology-optimization
- 拓扑优化的文章及代码。一种紧凑的matlab实现拓扑的水平集方法优化。-Topology optimization articles and code. Matlab to achieve a compact level set method of topology optimization.
wangqiang1
- 用于图像分割，主要是采用了水平集的算法，能够较好的实现图像的分割，是后面图像分析和理解的关键-For image segmentation, mainly using the level set algorithms to achieve better image segmentation, image analysis and understanding is behind the key
wang
- 本程序主要是实现了图像分割，采用的算法是水平集和分水岭算法。-This procedure is mainly to achieve image segmentation, level set algorithm is used and the watershed algorithm.