指纹识别实验平台的预处理部分，对指纹图像进行方向场估计、分割后细化，为提取特征做准备，压缩包中有指纹图像，...

Hough变换的简易程序， * 该函数用于对检测图像中的平行直线。如果图像中有两条平行的直线，则将这两条平行直线 * 提取出来。 * * 要求目标图像为只有0和255两个灰度值的灰度图像。-Hough transform to the simplified procedure,* The function used to detect images of parallel linear. If the images are two parallel lines, it will be two parallel linear* extracted.** Requirements for the target image only two 0 and 255 gray values of gray-scale images.

VC和OpenGL实现的点云读取界面，需要的朋友可以下载参考-VC and OpenGL realize the point cloud to read interface, the need for a friend can download the reference

这是一个画任意多边形的例子-This is a painting arbitrary polygon examples

：由于许多传统的去噪方法在强背景噪声情况下提取声音信号的能力变弱甚至失效， 提出 应用独立成分分析( I C A) 方法对声音信号进行特征提取， 并证明了这种 I C A 变换能增强语音和音 乐信号的超高斯性． 在此基础上， 应用 I C A基函数作为滤波器， 通过阈值化的去噪方法对含有强高 斯背景噪声的声音信号进行去噪仿真实验． 结果表明， 本方法明显优于传统的均值滤波和小波去噪 方法， 为强背景噪声下弱信号的检测提供 了新的途径．-: As many of the traditional de-noising method in case of strong background noise, the ability to extract the voice signal even weaker failure, the application of independent component analysis (ICA) method of voice signal feature extraction, and prove that this transformation can be enhanced voice ICA and music of super-Gaussian signals. On this basis, the application of ICA basis function as a filter, through the threshold of the denoising method of Gaussian background noise contains strong voice signal denoising simulation. The results show that this method is obviously superior to the traditional mean filtering and wavelet denoising methods for the strong background noise under the weak signal detection provides a new way.

visual c++数字图象处理典型算法及实现-visual c++ typical digital image processing algorithm and realize

2D and 3D face recognition: A survey

基于MATALAB 数字滤波器设计用巴特沃斯滤波器进行图像滤波-the auto design by matalab in this way

本文提出了一种新的跨国家的障碍 检测技术为基础的立体视觉系统。 原始图像的预处理的高斯 过滤器和对比度限制的自适应直方图 均衡（ CLAHE ）方法来削弱作用 噪音，光线和对比度。哈里斯的角落位于与子像素精确。 -Cross-country intelligent vehicles always work in complicated environments with varying illuminations. The paper presents a new cross-country obstacle detection technology based on stereo vision system. The original images are preprocessed by Gaussian filter and contrast-limited adaptive histogram equalization (CLAHE) method to weaken the effect of noise, light and contrast. Harris corners are located with sub-pixel accurate. To guarantee the overall system real-time performance, feature-based matching techniques are studied and fundamental matrix is calculated based on random sample consensus (RANSAC). Also restrains are studied to eliminate pseudo matching pairs. Then data interpolation is introduced to build elevation maps. Edge extraction and morphological processing are concerned to accomplish obstacle detection. Experiment result

JAVA制作的水波纹特效,使开发者直接使用此代码使用 -JAVA produced water ripple effects, allowing developers to directly use this code to use