搜索资源列表
八值图像连通区域标记
- 八值图像连通区域标记，为每个连通区域分配一个唯一的标号，处理后的图像按照从左到右，从上到下的顺序获得连续的标号,Binary image connected region eight marks, for each connected region a unique label distribution deal with in accordance with the image from left to right, from top to bottom order of access to
Read_MNIST_DataSet
- 读取MNIST数据集中图像数据文件和图像标签文件并转化成BMP图片和txt格式的标签数据。本程序简单易用，注释清楚。直接运行代码，选择相应文件即可输出BMP图片或txt文件。-The program is used to read the MNIST data set and translate the image data file and image label file into BMP or txt files.
random_walker_matlab_code
- The random walker algorithm was introduced in the paper: Leo Grady and Gareth Funka-Lea, "Multi-Label Image Segmentation for Medical Applications Based on Graph-Theoretic Electrical Potentials", in Proceedings of the 8th ECCV04, Workshop on Compute
Label a watershed image
- 图像的分水岭分割及标记分块。是进行图像处理的有利工具-Image segmentation and marking a watershed block. Is a powerful tool for image processing
labeling
- Simple image 2-pass labeling algorithm, included warshall algorithm to fill the equivalent matrix.
myimgLabeller
- A Qt4 and OpenCV program to label a image at pixel level, It has inbuild segmentation algorithm included, with a bar for varying parameters. Useful tool for annotating a image.
imageviewer.tar
- The source code for an image viewer. It illustrated how to use pyqt4 bindings to create menu for mainwindow, how to control sidebar and how to use image label class. The CPP source for identical function is also provided.-The source code for an
labelsegment
- The purpose of this project is to label connected components of an image. One image is made up of several image components which are expressed as connected pixels. This project is to identify and label these connected components when these components
growcut
- GrowCut algorithm from "GrowCut" - Interactive Multi-Label N-D Image Segmentation：可用于目标提取的分割算法，包括算法原文 -GrowCut algorithm from " GrowCut" - Interactive Multi-Label ND Image Segmentation: segmentation can be used for object extraction algori
restore
- 图像增强的目标是改进图片的质量，例如增加对比度，去掉模糊和噪声，修正几何畸变等；图像复原是在假定已知模糊或噪声的模型时，试图估计原图像的一种技术。 图像增强按所用方法可分成频率域法和空间域法。前者把图像看成一种二维信号，对其进行基于二维傅里叶变换的信号增强。采用低通滤波（即只让低频信号通过）法，可去掉图中的噪声；采用高通滤波法，则可增强边缘等高频信号，使模糊的图片变得清晰。具有代表性的空间域算法有局部求平均值法和中值滤波（取局部邻域中的中间像素值）法等，它们可用于去除或减弱噪声。 -A
LabelMeToolbox
- LabelMe is a WEB-based image annotation tool that allows researchers to label images and share the annotations with the rest of the community
labeling_of_image
- this code is about label in binary image in matlab. this code is corespondant whit imlabel in matlab
mobileui-32425
- 基于.NET CF 的UI控件源码，包含LABEL,LISTVIEW等控件，相信对MOBILE开发的朋友有作用-Based. NET CF' s UI control source, including LABEL, LISTVIEW other controls, I believe the role of friends developed MOBILE
label
- 图像分割处理：Roberts,Sobel,LOG,Prewitt算子处理，街区距离方法，欧几里得距离方法，边缘提取，去噪-Image segmentation: Roberts, Sobel, LOG, Prewitt operator handling, block distance method, Euclidean distance method, edge detection, noise reduction
Exercise3
- 3 The aim of the exercise is to create an interface in Visual Basic (Visual Basic in a way) similar to the figure below. The form has three controls and image label. The label control at the top must submit the current date (the result of a Visual Ba
label
- LABELISATION USING MATLAB FOR SZGMENTATION IMAGE BINAIR
Multi-class-SVM-Image-Classification
- 基于神经网络的遥感图像分类取得了较好的效果,但存在固有的过学习、易陷入局部极小等缺点.支持向量机机器学习方法,根据结构风险最小化(SRM)原理,表现出很多优于其他传统方法的性能,本研究的基于多类支持向量机分类器的遥感图像分类取得了达95.4 的分类精度.但由于遥感图像分类类别多,所需训练样本较大,人工选择效率较低,为此提出以人工选择初始聚类质心、C均值模糊聚类算法自动标注训练样本的基于多类支持向量机的半监督式遥感图像分类方法,期望能在获得适用的分类精度的基础上有效提高分类效率-Neural ne
label
- 在matlab开发环境中，对于图像采用贴便签算法识别出不同连通域后，对该图像的不同连通域索引不同的颜色，显示出标签的效果！-In the Matlab development environment for the images posted notes algorithm to identify different connected domains, the different colors of the image connected domain index, showing the e
label
- 用c++编写的一个图元识别程序，手动输入图像，0和1表示，将相邻的1标记出来。-A primitive recognition program, written in c++ manual input image, 0 and 1, said adjacent marked.
label
- 对于深度学习目标分类，需要处理图像数据库，本程序能够将生成图像标签txt。(generate Image label)