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8连通
- 计算8连通区数量 利用深度优先遍历，并对同一8连通区进行标记，当遇到不属于同一连通区且灰度符合要求的则计数加1，分别考察一个点周围的八个点。-8 COMPONENTS calculated using the number of depth-first traversal, and the same eight areas marked connectivity, when they do not belong to the same gray zone, connectivity to m
ImageProcessingClass
- 图像文件的打开、显示、保存、切割、旋转、灰度图-rgb、rgb-hsv、rgb各分量的提取等功能类-open the image files, display, preservation, cutting, rotating, grayscale - rgb, rgb - hsv. rgb components in the extract function category
IProcessP
- VC.NET图象处理,采用基于CImage类的图象处理技术,封装的函数为图象处理比较高级的部分,如图象分割等等,开发环境为VC++.NET-VC.NET image processing, based on CImage kind of image processing technology, Packaging of image processing functions for more advanced components, such as image segmentation, and
EM84XXOSD
- EM84XX系列OSD delphi全部源码(应用程序，TxlOSD组件,接口声明等)-EM84XX series OSD delphi all FOSS (application procedures, TxlOSD components, Interface statement)
ddvip_com_0326188580c991
- 利用24位图的RGB分量的最低位来保存隐密数据实现数字水印-use map RGB components of the lowest-secret data to the preservation of digital watermarking
kern
- ACIS是一个开放的、采用C++语言构造的三维造型开发系统, 其特点是将线框、曲面和实体造型融于一体, 并可以将这三种表示共存于一个数据结构中。目前, ACIS 广泛的运用于CAD、AEC、自动化技术和船舶制造等技术领域。本组件是ACIS的核心组件，提供了核心基本实体和属性的支持、拓扑和几何实体类、数学处理类、文件的保存及其混饭、历史和回溯的函数。-ACIS is an open, using C language structure of the development of 3D model
amfc
- ACIS是一个开放的、采用C++语言构造的三维造型开发系统, 其特点是将线框、曲面和实体造型融于一体, 并可以将这三种表示共存于一个数据结构中。目前, ACIS 广泛的运用于CAD、AEC、自动化技术和船舶制造等技术领域。本组件支持Vc++ mfc的支持。-ACIS is an open, using C language structure of the development of 3D modeling system, which was characterized to wirefram
ofst
- 本ACIS几何造型平台组件提供线框和曲面的偏移操作的功能。-the ACIS geometric modeling platform components provide wireframe and surface offset operating functions.
cstr
- 本ACIS几何造型平台组件提供基本的拓扑构造，线框构造和编辑，性质分析（面积长度和质量等）等功能。-the ACIS geometric modeling platform components provide basic topological structure, wireframe construction and editing, Analysis (area of length and quality, etc.) and other functions.
gi
- 本ACIS结合造型平台组件提供图形显示功能。-the ACIS modeling platform components combine to provide graphics functions.
CMVision
- A free color vision processing library, which is able to threshold and calculate connected components of 640x480 60fps video streams entirely in software.-A free color vision processing library, which is able to calculate threshold and connec ted com
yuv_filter
- yuv视频中y、u、v三个分量通道分别进行各种滤波-yuv Video y, u, v 3 components were various channel filtering
hsvquan
- hsv的空间量化，要求输入为hsv空间中的图像。分别对h、s、v三个分量进行量化。-hsv space quantization, for admission to hsv space images. Respectively h, s, v 3 components quantified.
Java_JPEG2000_codec
- 用Java写的JPEG2000的编解码程序，含下面三部分：源程序，二进制代码，以及说明文档（JJ2000 项目的共享软件）-use Java to write the JPEG2000 codec procedures, with the following three components : source files, binary code, and documentation (JJ2000 project sharing software)
jiyuyansefenliangdeLPR
- 基于颜色分量的车牌定位系统，可准确的截取车牌图像。-based on the color components plates positioning system, accurate interception of license plate image.
FusionCode1
- 针对多聚焦图像融合，本文首先介绍了小波变换融合算法，虽然小波变换方法无冗余，高频分量损失较小，具有较好的融合效果，但存在两个主要缺点：一是移变性，二是融合图像在重构时会受到一些外来因素的影响，所以仍会丢失一些边缘信息，为了克服小波变换法的以上缺点，可以采用基于小波分解和点扩展函数模型PSF相结合的融合方法。该方法首先对不同的图像进行无降2采样的小波分解，以保持与源图像大小相同，然后分别将其各方向、各尺度的高频分量进行叠加，并依此提取其高频分量的特征信息来判定清晰目标或模糊目标，以此来设计融合算法
connected_components_image
- Implementation Of Labeling Connected Components 用C#实现图像的连通区域标定，可选4连通，8连通-Implementation Of Labeling Connected Components The algorithm is coded in C# using unsafe so the quality and speed of the program may not be affected. The class BitmapData i
code
- 查找连通分量的个数， 本程序的例子是查找一个图片中细胞的个数。-use openCV to find the number of connected components. This example is to find the number of cells in a picture.
MarkConected
- 本程序是基于多文档(MDI)的连通域标记算法，用于统计连通域的数目。本人亲自修改，运行通过，而且附有测试例图。-This procedure is based on the multiple document (MDI) of the connected components labeling algorithm, the number of connected components for the statistics. I personally modify, run through, an
Connected-Components
- Connected-component labeling (alternatively connected-component analysis, blob extraction, region labeling, blob discovery, or region extraction) is an algorithmic application of graph theory, where subsets of connected components are uniquely labele