搜索资源列表
灰度
- 图像的象素值变换，包括亮度、对比度和GAMMA校正算法，环境是OPENCV4.0，VC6.0。算法参考了MATLAB函数 imadjust 。-pixel image transformation, including brightness, contrast and GAMMA correction algorithm, the environment is OPENCV4.0, VC6.0. MATLAB algorithm reference to the function imadjus
opencv4_Lib
- opencv4库文件，可以有效提高图像处理工作者的编程效率。使用时要包含cv.h，ipl.h和highgui.h三个头文件。-opencv4 libraries can effectively improve the image processing workers programming efficiency. Used to contain cv.h, ipl.h and highgui.h three headers.
OpenCV4·0
- 基于OpenCV的图像处理，实现了图像的基本操作-Based on the OpenCV image processing, the realization of the basic operation of the image
opencv4_Lib
- OpenCV为图像处理领域中十分全面的开发源代码包，对开发图像处理程序非常有帮助，可以很大的提高开发速度。-OpenCV for image processing field to develop a very comprehensive source code package, on the development of image processing procedures very helpful, you can greatly increase the development spee
hdtz
- 图像的象素值变换，包括亮度、对比度和GAMMA校正算法，环境是OPENCV4.0，VC6.0。算法参考了MATLAB函数 imadjust 。-Transform the pixel values of images, including brightness, contrast and GAMMA correction algorithm, the environment is OPENCV4.0, VC6.0. Algorithm MATLAB function reference imad
opencv4-3
- opencv学习的第4.2节 opencv教程的光盘-opencv learning section 4.3 opencv tutorial CD-ROM
opencv4-4
- opencv学习的第4.4节 opencv教程的光盘-opencv learning section 4.4 opencv tutorial CD-ROM
opencv4-5
- opencv学习的第4.5节 opencv教程的光盘-opencv learning section 4.5 opencv tutorial CD-ROM
opencv4-6
- opencv学习的第4.6节 opencv教程的光盘-opencv study in section 4.6 opencv tutorial CD-ROM
SkinModel
- VC2010+OpenCV4.3环境下实现人脸检测肤色模型-Skin model in the framework of VC2010+OpenCV4.3
DWT
- 基于Opencv4.2实现的离散小波变换及其逆变换，编程环境visual studio 2010，编程语言c-DWT based on opencv4.2 with visual studio 2010 and C++
opencv4.3
- 自主选择性的查看一幅图像中的部分区域的颜色直方图：允许用户在一幅图像中选择一个矩形区域，通过按住鼠标键画一个矩形，当鼠标放开是，高亮显示矩形框，同时在另一个独立的窗口中，使用画图函数画一个图表（选定区域的颜色直方图），分别用蓝，绿，红表示选中区域中每种颜色的像素数量。-Self-selective color in an image to view a partial area of the histogram: Allows the user to select a
guide_filter
- 结合VS2012和opencv4.7编写的利用导向滤波（引导滤波）对图像对比度进行增强的程序，效果很好，可以直接运行-Combined with VS2012 and opencv4.7 written using oriented filtering (boot filtering) carried on the image contrast enhancement program, the effect is very good, you can directly run
opencv4
- execute dft and dct an image
opencv图像识别
- opencv图像识别，利用opencv4版本，配合window使用