demons

利用低通滤波器对图像进行插值放大：按放大的倍数对原图像进行插零，插零后的图片与低通滤波函数进行卷积，原先插入的零的位置自动替换为适当的插值，如此图像就已经插值放大了，图像质量还不错。(Double the number of pixels of each row and column by adding a zero value pixel between each pixel of the image.Then operate with two kinds of low-pass filters to get the enlarged image.)

利用支持向量机对图像进行分割。特征属性为RGB图像3个通道的亮度。(Using support vector machines for image segmentation. Characteristic properties of three channels of RGB image brightness.)

自适应双边滤波，利用空域低通滤波和图像灰度信息的非线性组合，自适应的对背景进行抑制。(Adaptive bilateral filtering, the use of the airspace low-pass filter and image grey scale information of nonlinear combination, adaptive to suppress background.)

基于规格化Hough变换的天波超视距雷达检测前跟踪算法(Hough transform based on the normalized horizon radar detection and tracking algorithms)

8路串行lvds转单路并行axistream(8 single-pathLVDS to 1parallel AXI_Stream)

Impulse response, system response, for signal processing

该程序用来实现对图片的多级小波分解！提取多级分解后各子带的小波系数！(The program is used to achieve multi-level wavelet decomposition of an image! And extraction of multi-level decomposition of the wavelet coefficients of each sub-band! )

说明：  基于opencv的图像灰度化，将24位彩色图像重新量化为8位灰度图像(gray image)

图像分割中的分水岭算法实现--图像灰度变化--图像增强--多维图像(Watershed image segmentation algorithm image change image enhancement multi-dimensional image)

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)