在指纹上的应用

说明：  雷达中的微多普勒效应，书中的源代码，很好的实现原书中的实例操作，掌握雷达分析技术(The source code of micro Doppler effect book in radar)

用灰度模板匹配和灰度模板快速匹配两种算法实现了对两个图像的配准。(Matching two pictures with algorithms of modeling and fast modeling .)

说明：  声呐或者雷达系统发射信号后，通过波束形成算法对两个目标（方位分别为theta1、theta2）回波进行仿真，经过相位补偿，可以看出图像有两个波峰，波峰处指向性函数峰值最大，峰值所对应的的角度值即为目标的方位角。所以该程序对数字波束形成（DBF）的原理进行了仿真，适合初学者掌握阵列信号处理中数字波束形成的原理。(After the sonar or radar system transmits the signal, the echo of the two targets (the azimuth is theta1 and theta2 respectively) is simulated by the beamforming algorithm. After the phase compensation, it can be seen that the image has two peaks, the peak of the directivity function is the largest, and the corresponding angle value of the peak is the azimuth of the target. So the program simulates the principle of DBF, which is suitable for beginners to master the principle of DBF in array signal processing.)

超像素分割方法，在计算机视觉领域，图像分割（Segmentation）指的是将数字图像细分为多个图像子区域（像素的集合）（也被称作超像素）的过程。超像素有一系列位置相邻且颜色、亮度、纹理等特征相似的像素点组成的小区域。这些小区域大多保留了进一步进行图像分割的有效信息，且一般不会破坏图像中物体的边界信息。(Super pixel Segmentation method, in the field of computer vision, image Segmentation, Segmentation) refers to the digital image Segmentation region for multiple image sequence (the set of pixels) (also known as the pixels) process. Adjacent pixels have a series of position and features such as color, brightness, texture similar to that of small region composed of pixels. Most of these small area retains the further effective information for image segmentation, and generally does not destroy the boundary of the object in the image information.)

计算信噪比的测试程序代码，利用对比敏感度函数（CSF）测量失真图像的空间频率。(Calculation of the test code SNR, the contrast sensitivity function (CSF) measurement of the spatial frequency of image distortion.)

一种快速的图像拐点的matlab程序，在一张图像上用9点快速检测，要求被处理图像为2值图像。(a fast image inflection point of Matlab procedures, in an image with 9:00 rapid detection, Image processing was required for two binary images.)

系统地介绍总结了基于贝叶斯理论的陆海SAR图像分割(Systematic introduction summarizes the sea SAR image segmentation based on bayesian theory)

此程序用matlab实现了在水果图片中识别出水果的功能，识别成功率较高(This program uses MATLAB to realize the function of recognizing fruits in fruit pictures, and the recognition rate is higher.)

说明：  lowe论文的sift算法的MATLAB源代码(MATLAB source code of sift algorithm for lowe paper)

图像色彩空间转换，hsi空间，cmy，yiq，yuv等等(Digital Image Color Space Conversion)