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gift-0.1.14.tar.gz
- The GIFT (the GNU Image-Finding Tool) is a Content Based Image Retrieval System (CBIRS: http://en.wikipedia.org/wiki/CBIR). It enables you to do Query By Example (QBE: http://en.wikipedia.org/wiki/QBE) on images, giving you the opportunity to improve
segmeeeeeeeeeeeeeee.tar
- A general technique for the recovery of signicant image features is presented. The technique is based on the mean shift algorithm, a simple nonparametric pro- cedure for estimating density gradients. Drawbacks of the current methods (includi
query
- 利用matlab编写的m文件,根据高斯描绘子对图像库中的图像进行图像检索。-M prepared to use matlab file, in accordance with sub-Gaussian portray the image library image image retrieval.
vcas_2009
- A method to detect new objects in a scene by comparing an input query image and a movie database captured beforehand is proposed. Our method is based on both feature point matching and edge matching. First, we select the most matched movie from t
ChildFrm
- The first scheme is based on the spatial locality of feature vectors corresponding to similar images. Learning is effected by modifying the query vector to incorporate the positive examples. The second scheme is based on “distorting” our view of
Command
- By using a weighted metric, it is possible to shorten the distance between the query and relevant images and elongate the distance between the query and irrelevant images. Our results on a large image database
goodimagequery
- 在本演示中,一个简单的图像检索方法,提出基于图像的颜色分布。用户只需提供一个“例子”的形象和搜索是基于这个例子(例如基于查询的图像)。包括图像和教学指令-In this demo, a simple image retrieval method is presented, based on the color distribution of the images. The user simply provides an "example" image and the search is base
PBasa
- 将图片存放到数据库的blob字段,并且可以通过查询并显示出来-The image stored in a database blob field, and can be displayed by the query and
htdocs
- php图书馆管理系统(包含程序和说明文档) 通过计算机对图书进行管理,不仅为图书馆的管理注入了新的生机,而且在运营过程节省了大量的人力、物力、财力和时间,提高图书馆的效率,还为图书馆在读者群中树立了一个全新的形象,为图书馆日后发展奠定一个良好的基础。 (1)输入管理员名称及密码,单击“确定”按钮,进入系统主界面 (2)在“系统设置”中设置管理员信息、图书馆信息、书架等。 (3)在“读者管理”中先设置读者类型,然后在读者档案管理中添加读者信息。 (
face-recognition-final-version
- Face Recognition System based on LabVIEW The general process is as follows. Firstly, the original data is captured by a web camera and then transferred from RGB color space to YUV color space, where it is easier to tell the skin area from non-skin
ZCX0070.0
- 基于对话框创建一个通讯录,实现如下功能: 1、创建一个欢迎界面后进入通讯录; 2、将通讯录的基本内容显示到Listctrl控件中比如包括(姓名,性别,家庭住址,电话等); 3、可以查询、修改、删除(删除列表控件所有内容)通讯录的信息; 4、可以将输入的通讯录按txt格式保存,打开; 5、光标放在按钮上时有提示信息; 6、将按钮控件设置成位图按钮; 7、给对话框添加背景图片。 8、界面美观,布局合理。 -Create a dialog-based address
spatialcontextpartfirst
- 基于图像内容的图像检索代码,图像特征为颜色和SIFT特征,返回与查询图像相似的检索结果,程序绝对能够运行。-Content-based image retrieval code image, the image is characterized by color and SIFT features, similar to the query image and return search results, the program is definitely able to run.
A-sparse-representation-
- 图像的稀疏表示,通过该算法可以读图像进行稀疏表示,并且查询字典可还原图像.-Image sparse representation, can be achieved by the algorithm of image sparse representation, and combine the dictionary query, can restore the image.
ImageComparator
- 通过比较两幅图像直接的直方图来测量两幅图像之间的相似性。因为直方图比较是基于逐个容器进行的比较,不考虑相邻容器的影像,顾比较之前对查询图像和输入图像减少颜色空间。-Direct histogram similarity measure between two images by comparing the two images. Because histograms are more individually based on container, without regard to the i
voting
- 1、支持在线的图片投票和评论;2、支持报道新闻动态更新 3、支持自定义分类4、支持投票相关的评选,投票的说明等 5、每天每个IP投票数量显示,每个Ip对指定的图片投票限制等等 6、后台完善由大赛报道、人物展示、投票评论、用户管理、系统管理主要组成 7、在线报名,后台自主审核用户 8、用户查询系统 9、合作商业单位 10、自动关闭投票功能 11、会员投票开关功能,会员投票数限制功能,自由组合是否由会员全新投票 12、全新编辑器,改掉以有弹出式,人性化界面
xycmsbook_v3.0
- 网上报名系统网站前台展示了考生的个人信息、满足了考试的基本流程的要求。设置“考生报名”功能模块,提供在线报名功能,满足考生通过网络直接报名的要求。提高了考试的运行效率,方便考生报名。 网站后台实现了对前台信息的管理功能。通过“管理员”模块、图片管理模块,实现了不断更新信息的要求。通过“报名信息查询”模块对考生的个人信息进行管理。管理考生的留言信息,及时和考生进行沟通。-Online registration system website shows the front desk person
2
- 基于全球剖分模型的空间信息编码模型初探 为解决由于不同GIS数据模型中同一空间实体的编码不惟一而导致数据共享困难及标识的静态性 和无空间位置等问题,鉴于全球剖分模型的全球连续性、多层次性以及剖分面片地址码的全球惟一性,该文提出了基于全球剖分模型的全球空间信息剖分编码 (Geo DNA)模型,并设计了该编码模型的系统架构,试图实现全球空间信息的全息表达。通过对遥感影像中的空间实体进行编码试验,表明全球空间信息剖分编码模型 将大大增强空间信息的维护与共享能力,加快信息的查询与检索速度,在区
code
- 该文件是用于图像检索的demo,主要利用sift描述子提取特征进行匹配,在“Query by example” 数据库中运行效果良好。(The file is used for image retrieval demo, mainly using sift descr iptor to extract features and match it in the "Query by example" database.)
最小二乘法圆拟合方法1
- 通过对图像中值滤波处理,二值化,边缘查询,找出图像中源所有的边缘像素点,然后利用最小二乘法对这些边缘点进行找圆,计算出圆的坐标和半径。(By means of median filtering, binarization and edge query, all edge pixels in the image source are found, and then the least square method is used to find the circles of these edge p