tensorflow test

说明：  本课题的主要内容是图像预处理,它主要从摄像头中获取人脸图像然后进行处理,以便提高定位和识别的准确率.该模块主要包含光线补偿、图像灰度化、高斯平滑、均衡直方图、图像对比度增强，图像预处理模块在整个系统中起着极其关键的作用，图像处理的好坏直接影响着后面的定位和识别工作,内有源代码和全部论文资料(this issue is the major content of image preprocessing, mainly from the camera to obtain images Face then, in order to improve the recognition and positioning accuracy. The module consists mainly of light compensation, Grayhound, Gaussian smoothing, balanced histogram, image contrast enhancement, image pre- processing module in the system plays a crucial role in image processing will have a direct impact behind the positioning and identification, within Active code and all papers information)

26个不同影像处理程序,以VC++开发,是了解影像入门好帮手(26 different image processing procedures to VC++ Development is helpful to understand the image entry)

说明：  基于小波变换的数字水印嵌入程序（将二值图像嵌入尺寸相同的灰度图象中）(based on wavelet transform digital watermark embedding process (will embed binary images the same size as the gray image))

多种图像处理基本方法的源代码，包括图像分割和边缘检测，非常适合初学者参考使用。(A variety of basic methods of image processing source code, including image segmentation and edge detection, is suitable for beginners reference.)

说明：  自编快速傅里叶变换函数 自适应中值滤波傅里叶变换函数快速傅里叶变换(Self-programmed FAST Fourier Transform function adaptive Median filter Fourier Transform Function fast Fourier Transform)

Visual C++ 6.0，基于opencv，MFC框架下开发，一个具有视频交互功能的桌面程序，功能类似于例程“Computer Vision Virtual Buttons”，能够实现基于视频交互的虚拟按钮的触发，(Visual C++ 6.0, based on opencv, MFC framework of development, a video interactive features of desktop applications, functions similar to the routine " Computer Vision Virtual Buttons" , to video-based interactive virtual button, trigger,)

GABOR对SAR图像进行滤波及纹理提取，可直接使用(GABOR of SAR image filtering and texture, can be used directly)

说明：  阈值分割。基于二维直方图及混沌粒子群的图像分割方法(Thresholding. Based on two-dimensional histogram and chaotic particle swarm methods for image segmentation)

基于小波多尺度的灰度图像纹理特征检测源码，小波可以自定义(Based on wavelet multi-scale texture features of the gray image source detection, wavelet can customize)

说明：  使用GDAL的c#版本读取栅格图 gdal文件已经编译完成(Use C version of Dgal to read raster)