IDB

利用matlab编程技术将灰度图像归一化到0-255范围内(Normalize the image to 0-255)

本算法一种基于量子遗传算法的图像增强方法，包含多个m子文件。使用量子旋转门(The algorithm based on quantum genetic algorithm of image enhancement methods, contains more than one m subfolders. The use of quantum revolving door)

不均匀光照下的文字分割，综合运用同态滤波方法、Bernsen局部阈值法、边缘识别法。(Uneven illumination of the text segmentation, integrated use of homomorphic filtering methods, Bernsen local threshold, the edge identification method.)

说明：  数字图像处理 初学者可以参考学习 包含图像增强 直方图处理 滤波等(MATLAB_digit_processing_code)

在高斯混合噪声背景下实现SLIM谱估计算法和l1范数SLIM谱估计法，并在-5到15的信噪比条件与CRLB对比均方频率误差(the paper achieves the SLIM spectral estimation algorithm and l1-SLIM spectral estimation method under the Gaussian mixture background noise,then compares the mean square frequency error with CRLB under SNR from-5 to 15 )

用于对图像特征的分类，随机森林算法是一类很好的算法(For the classification of image features, random forest algorithm is a kind of a good algorithm)

人脸检测与跟踪，我的毕业论文，使用我自己改进的ADABOOST和CAMSHIFT算法,附带我的毕业论文,opencv1.0或以上自己配置(face detection use adaboost and camshift algorithm，relevant paper enclosed，OPENCV1.0 is necessary)

基于SURF算法的图像拼接程序，执行效率高于SIFT算法(Executive efficient than SIFT algorithm based on the the SURF algorithm of image stitching procedure)

大量图片的处理代码,特别是图片的批量处理，非常有利于在处理图片时使用(A large number of image processing code, especially images of batch processing, image processing is very conducive to the use of)

两个l1准则下的噪声干扰信号压缩感知重构举例，两个例子的稀疏矩阵均为DCT矩阵，而观测矩阵分别采用单位阵和随机矩阵，有详细的步骤和使用方法，适用于初步的学习压缩感知方法。(This programme supply two examples by Compressed sensing with l1 norm. The sparse matrix of two examples are all DCT matrix and the obsever matrix are unit matrix and random matrix respectively. We give the detailed usage and steps for the programme which is useful to the beginner.)