资源列表
TrueColor2SingleBand
- VC/C++源码,图形处理,图像转换 VC实现真彩色图像转换为8位图像，RGB三个波段的灰度通过一个线性变换式计算为单波段灰度。 关于代码： DWORD _width1 = WIDTHBYTES(width*8) //保存的8bits位图保存宽度 DWORD bytesCount1 = _width0*height //存储该真彩色位图数据段所用的字节数，不是像素数 DWORD bytesCount2 = _width1*height //存储8b
sift2
- sift算法，VC++ 6.0 开发，用于图像特征点提取，利用Opencv库进行开发-sift algorithm, VC++ 6.0 to develop for the image feature point extraction, Opencv library development
AT21_EllipseAreaApplication
- （1）图幅理论面积与图斑椭球面积计算 （2）图幅理论面积计算公式 （3）椭球面上任意梯形面积计算公式 （4）高斯投影反解变换 -(1) maps the theoretical area of the polygons ellipsoid area (2) maps the theoretical area formula (3) Ellipsoid any trapezoidal area formula (4) Gauss projec
matlab
- matlab图像处理实现功能的程序，包括阈值分额，边缘检测等所在的几十种功能对应的源代码。-matlab image processing function of the program, including dozens of functions of the threshold share, edge detection, where the corresponding source code.
Oppsite
- 使用opencv制作的程序，可以把彩色图片转换为灰色图片-cover picture to gray
GMM
- 运用OpenCV2.0编辑混合高斯背景建模，能够较好的识别四个视频中的运动前景和背景，在一定程度的背景复杂度下，能够较准确检测。-The use OpenCV2.0 edit Gaussian mixture background modeling, and better identification of four video movement in the foreground and background, the background of a certain degree of com
color-histogram-matching
- 本代码实现多视频下的目标识别的方法。使用了颜色直方图特征，并计算巴氏距离得出目标是否匹配。可以使用背景较为简单的视频进行实现。-The code to achieve the target recognition method of multiple video. Color histogram, and calculates the the Pap distance derived target match. Can use relatively simple background video
muti-camera-detection
- 本代码实现来自4路的摄像机读取视频数据并显示，随后实现运动目标检测的功能。它真正做到实时处理检测多路视频中的运动目标。本程序采用多线程的方式。-The source implementation of the camera read video data from the 4-way, and then moving target detection function. It is truly real-time processing of moving targets in the detec
test
- openGL的简单练习,曲线的生成可以优化对opengl的掌握-OPENGL test
Delphi
- 这是一些用delphi编写的图像处理的实例，还有一些是delphi编的处理窗口的程序。-This is written in delphi image processing examples, some of delphi compiled program of the processing window.
ChipLine
- 该算法用于线的裁剪算法，是L-B经典算法的实际应用-This function is used for cutting lines,which is mentioned by Liang Youdong.
gabor-transform
- Gabor变换可以达到时频局部化的目的：它能够在整体上提供信号的全部信息而又能提供在任一局部时间内信号变化剧烈程度的信息。简言之，可以同时提供时域和频域局部化的信息。-Frequency localized Gabor transform can achieve the purpose: it can provide all the information of the signal on the whole and they can provide the intensity of the s