搜索资源列表
GrabCut
- 用于图像分割,半自动交互,是比较流行的分割算法之一
snake_demo
- 图像分割中SNAKE算法的Matlab演示程序,程序为GUI,sdemo.m为住程序,参数设置可通过交互设置。-Image segmentation algorithm in Matlab demo SNAKE procedures, procedures for the GUI, sdemo.m for the live program, parameter settings can be set through the interaction.
GraphCuts
- Graph Cuts是一个图像分割方法,具有交互式分割,分割效果很好。-Graph Cuts is an image segmentation method, with interactive segmentation, segmentation works well.
Seed
- 实现了二维图像的种子填充算法,该算法可以用来被用来实现脑图像的交互式分割-Using vc++ implementation of the two-dimensional image of the seed filling algorithm, which can be used be used to achieve interactive segmentation of brain images
iso2
- 基于matlab环境自编的ISODATA算法实现图像分割,交互选取初始点。可供初学者参考练习。-Matlab environment based on self-compiled the ISODATA algorithm, image segmentation, select the initial point of interaction. Reference to practice for beginners.
PicSegmentation
- 选取读入一份彩色图像,在运行Untitled.m程序时先用鼠标交互的选取一个颜色区域作为你要与其他色彩分割的目标,进行分割,鼠标选取好后,按ENTER健分割。-Before running Untitled.m interaction segmentation with the mouse select a color region ,then press ENTER star segmentation.
humansect
- 进行了视频人体对象分割技术研究,综合 使用静态图像分割技术与帧间运动检测技术,设计并实现了一个交互 式视频对象分割系统-Human object segmentation for video technology, the integrated use of static image segmentation and inter-frame motion detection technology, design and implementation of an interactive v
Interactive---Segmentation
- 本文介绍了一种结合live wire算法和活动轮廓模型的医学图像序列的分割方法.我们通过把live wire 算法和图像分割中一般的区域增长方法结合来改进live wire算法,并用改进后的算法来对医学图像序列中的单张或 多张切片进行交互式的准确分割.然后计算机利用活动轮廓模型来自动分割相邻的未分割切片.我们通过在活动轮廓 模型的边缘点中引入记录已分割物体边缘附近局部区域特征的灰度模型来把已分割切片中的物体与背景的局部区域 特征带入相邻的未分割切片中,并用由灰度模型定义的区域相似
image-segment
- 选取读入一份彩色图像,在运行Untitled.m程序时先用鼠标交互的选取一个颜色区域作为你要与其他色彩分割的目标,进行分割,鼠标选取好后,按ENTER健后出现分割节后。-Select a color image read in the first run Untitled.m program interacts with the mouse as you select a color region segmentation of color with other objectives, segm
MultiViewDemo
- 分割窗口形成的多视图实现与文档的交互,该例子说明如何分割窗口来实现多视图与文档的交互。-Split window view to achieve the formation of more interaction with the document, the example shows how to split the window to multi-view and document interaction.
quanyuzhi
- 数字图像处理全阈值处理交互界面,通过滚动条来实现图像分割。-Digital image processing threshold processing interface, through the scroll bar to achieve image segmentation.
Threshold
- 通过Opencv和MFC相结合进行图像处理,实现图像的阈值分割,通过人机交互选择阈值或者自适应阈值处理。可以支持用户交互修改阈值,便于使用-Opencv and MFC combination for image processing, image threshold segmentation, select the threshold of human-computer interaction, adaptive threshold processing. Modify the thresho
Untitled
- 交互式阈值分割算法图像处理,选取读入一份彩色图像,在运行Untitled.m程序时先用鼠标交互的选取一个颜色区域作为你要与其他色彩分割的目标,进行分割,鼠标选取好后,按ENTER健后出现分割节后。-Interactive image processing threshold segmentation algorithm to select a color image read at run Untitled.m program interacts with the mouse select a
real-time-Segment
- 借组VTK实现的实时交互分割,可以分割出任意方向的二维切片显示,在实现效果上非常好,但是交互速度较慢。-By the group to achieve real-time interactive segmentation VTK can be divided in any direction 2D slices show that achieving the effect is very good, but the interaction is slow.
graphcut
- 图像交互是分割 graph cut,实现交互式分割,并且可以连续分割-Interactive image is split graph cut, to achieve interactive segmentation, and can be continuously split
graphcuts
- 这是一个小程序,对于人工交互方式法进行图像预分割-Efficient Graph based image Segmentation
ImageMatting
- 图像处理ImageMatting的实现。主要思路是: 1)手工交互的给出一个前景区域的包围盒。 2)根据当前的前景和背景分割结果,分别估计前景和背景的GMM模型 3)用GraphCut算法进行分割 对上述2),3)两步进行迭代,得到比较好的分割结果 (分割-->估计前景背景-->分割) 4)matting-Image processing ImageMatting achieved. The main idea is: 1) gi
lazy-snapping--master
- 图像交互分割的经典算法的实现,Lazy snapping算法,交互简单。-Achieve the classic image segmentation algorithm interaction, Lazy snapping algorithm, interactive simple.
Grabcut_WITH_matlab
- 人机交互,Matlab 自带GUI进行编写,附带测试图像,运行完美(Human-computer interaction, Matlab comes with GUI to write, accompanied by testing images, running perfectly)
renlian
- 基于肤色分割的彩色图像人脸检测技术 人脸识别是一个具有广阔应用前景和极富挑战性的研究课题,涉及图形图像处理、神经网络、模式识别等等热门研究领域.其在公安追逃系统、安全验证系统、档案管理系统、信用卡验证、视频会议、人机交互系统等方面都具有重要的应用价值.一个完整的人脸识别系统应该包括人脸检测、特征提取、以及匹配识别(Face detection in color images based on skin color segmentation)