SARclassify

Adaptive Perona–Malik Model Based on the Variable Exponent for Image DenoisingThis paper introduces a class of adaptivePerona–Malik (PM) diffusion, which combines the PM

运用adaboost方法进行人脸检测的matlab算法，实用易懂，适合初学者！(Using adaboost method for face detection matlab algorithm, practical and easy to understand, suitable for beginners!)

compressing the image using JPEG 2000 compression coding to get 10:1 ratio

说明：  通过matlab源码实现图像的最佳自动阈值分割，所选算法是常见的大津法(Matlab source code through the realization of the best automatic image thresholding, the selected algorithm is a common method of Otsu)

说明：  实现图像模糊和恢复，有逆滤波恢复方法、傅里叶变换(Image blur and restoration are realized by inverse filtering and Fourier transform)

自己用MATLAB编的一维信号数学形态学的腐蚀与膨胀运算以及开闭运算，可用于滤去信号中的尖锐脉冲信号，适合于用于振动信号的预处理(Own series of one-dimensional signal using MATLAB mathematical morphology, corrosion and expansion of operations, as well as the opening and closing operation can be used to filter the signal sharp pulse signal suitable for vibration signal preprocessing)

对输入的图像帧感兴趣区域进行逆透视投影变换，得到俯视图。(The input of the image frame of interest in the area of the inverse perspective projection transform, get a top view. InversePerspectiveMapping)

实现目标跟踪的算法，是目前比较先进具有代表性的算法的代码(target track algorithm )

基于Sift算法开发商标图案匹配程序，(1)各个CBIR模块及其技术； (2)Sift算法及其在图像匹配、目标识别中的应用； (3)Sift算法在图像检索中的应用。 (Sift algorithm development based on pattern matching program mark (1) Each CBIR module and its technology (2) Sift algorithm and its application in image matching, object recognition application (3) Sift algorithm in image retrieval applications.)

将语音文件.wav转化为FPGA所需的.mif文件(The voice file. Wav into the FPGA required. Mif file)