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 the

实现用SDRAM运行nios，同时用SRAM保存摄像头数据，中介真值程度度量，基于中介真值程度度量的图像分割实现了图像的灰度化并进一步用于视频监视控。- Implemented with SDRAM run nios, while saving camera data SRAM, The true extent of the value of the intermediary measure, measure the true extent of the agency based on the

经典的灰度共生矩阵纹理计算方法，脉冲响应的相关分析算法并检验，实现用SDRAM运行nios，同时用SRAM保存摄像头数据。- Classic GLCM texture calculation method, Related impulse response analysis algorithm and inspection, Implemented with SDRAM run nios, while saving camera data SRAM.

用matlab调用摄像头，调用的是电脑自带的摄像头，运行之后出现一个摄像头窗口(未进行二值化灰度处理，因此是正常彩色图像。)(Using MATLAB to call the camera, it calls the camera that comes with the computer. After running, there is a camera window (no two value grayscale processing), so it's a normal color imag