搜索资源列表
OpenBitmap
- 图像分割算法，包括阈值分割（固定阈值、迭代阈值、一维最大熵阈值）、边缘分割、轮廓分割
levelsetcode
- Level Set Methods是由Sethian和Osher于1988年提出，最近十几年得到广泛的推广与应用。特别是在图像分割中应用广泛，如人脸轮廓分割，车牌分割
基于主动轮廓的图像分割
- 主动轮廓图像分割，主流算法
delphi图像分割.rar
- 用Delphi制做，实现在打开，二值化，对图像的腐蚀，膨胀，轮廓提取等效果，使结构开，结构闭，细化，恢复原图等功能，以及从各个角度的投影等,system with Delphi done to achieve the open, two values, the image of corrosion, swelling, contour extraction effect, open structure, structural closure details, such as the maximu
advancedcvmodel.rar
- 采用改进的CV图像分割算法用于提取图像边缘轮廓，代码注释很详细。,CV improved image segmentation algorithm for extracting image edge profile, the code is very detailed notes.
LevelSet.rar
- 基于matlab平台的分水岭算法图像分割，提取细胞轮廓,Matlab platform based on watershed algorithm image segmentation, contour extraction of cells
chap7.rar
- 医学图像处理，绝得能用的细胞边缘检测，分割最佳阈值的迭代算法，轮廓提取受噪声影响的分析,Medical image processing, the cells must have to use edge detection, segmentation optimal threshold of iterative algorithm, contour extraction affected by noise analysis
vc_imageprocessing
- VC++图像处理程序,哈弗变换，边缘检测，差影法，轮廓提取与跟踪，模板匹配，投影法，图像复原，阈值分割，种子填充等。-VC++ Image processing procedures, Haversian transform, edge detection, and poor shadow law, contour extraction and tracking, template matching, projection, image recovery, threshold segmentat
GCBAC
- 基于活动轮廓模型的图割算法，实现图像的高效分割！非常好的代码。希望帮助大家！-Graph cuts based active contours which is used for image segmentation.Excellent source code!
LCV 局部区域活动轮廓模型
- 这是“An efficientlocalChan–Vesemodelforimagesegmentation”（简称LCV模型）的MATLAB源代码。LCV模型是非常重要局部区域活动轮廓模型，它被广泛使用于各个领域，如MRI大脑图像分割，血管图像分割，图像偏差场纠正。-This is "An efficientlocalChan-Vesemodelforimagesegmentation" (referred to as the LCV model) of the MATLA
GraphCuts
- 基于图论的高效图像分割方法，比NCut算法的效率更高，效果更好-Based on Graph Theory and efficient image segmentation method, an algorithm NCut more efficient, better
levelsetautoseg
- 自己编的图像水平集分割matlab方法，已经成功运行，中间辅以形态学算子-Own level set image segmentation matlab methods, have successfully run the middle accompanied by morphological operators
ActiveContourDemos2
- 2005年学习图像分割算法过程中活动轮廓方法的对比DEMO，很有启发-2005 image segmentation algorithm to learn the process of active contour methods contrast DEMO, very enlightening
2005527163923
- 是一部分采用VC进行图像处理的源代码，其中包括图像复原，图像分割，种子填充，轮廓提取与边缘跟踪。-Is part of image processing using VC source code, including image restoration, image segmentation, seed filling, contour extraction and edge tracking.
416950642005527163923
- 图形分割 边缘检测 轮廓提取 边缘跟踪 种子填充 区域生长等功能-Graphic segmentation edge detection contour extraction of seed filling edge tracking features such as region growing
Yuzhifenge
- 图像阈值分割，包括：直方图门限选择、半阈值选择和迭代阈值。图像边缘提取，包括：轮廓提取、边界跟踪和区域增长-Image threshold segmentation, including: histogram threshold selection, quasi-threshold selection and iterative thresholds. Image Edge Detection, including: contour extraction, boundary tracking a
ChanVeseAlgorithm
- Chan 和Vese 两位专家建立的水平集模型无梯度主动轮廓水平集算法，图像分割的良好入门程序:) -Chan and Vese, two experts establish the level set model gradientless level set active contour algorithms, image segmentation process a good entry:)
coloredgedetection
- 基于形态学的彩色边缘检测，首先在RGB空间对原彩色图像的R，G，B三副伪彩色图像分别进行形态学边缘检测，然后对三副图像的边缘强度进行合并，采用阈值分割法提出图像的轮廓边缘。-Based on morphological edge detection of color, first of all in RGB space to the original color image of the R, G, B three pseudo-color image, respectively, morpho
lunkuotuxiangfenge
- 舌体轮廓的图像分割是计算机辅助舌诊系统进行图像分析的前提条件。提出了一种基于分水岭交换和主动轮廓模型相结合的自动轮廓分割算法。采用了分水岭变换的结果作为主动轮廓模型算法的初始曲线。在分水岭变换中，通过引入标记函数和强制最小值技术解决了传统分水岭变换可能导致的过分割问题，同时，在保证分割质量的基础上，通过降采样的方法来提高分割速度-Tongue contours for image segmentation is aided tongue diagnosis system, a prerequis
轮廓、分水岭算法
- 基于opencv实现了轮廓检测和利用分水岭对图像进行分割，简单而且有效。该程序基于MFC，很好，很强大。