opencv

利用opencv库写的一个关于图像孔洞填补的小程序，附加了效果图片(Using the opencv library to write a small program on the filling of the hole, the additional effect of the picture)

载入一副图像并进行平滑处理与高斯或其他核函数进行卷积有效的减少图像信息内容(Loading an image and smoothed with a Gaussian or other nuclear convolution function effectively reduce the information content of the image)

用c语言编写的数字图像处理程序，图像读取，图像增强，图像复原，傅里叶变换，离散余弦变换都有(With the c language digital image processing, image scanning, image enhancement, image restoration, Fourier transform, discrete cosine transform has)

说明：  用于物体目标轮廓的提取与跟踪，能更好的识别出物体轮廓。(Target contour for object extraction and tracking, to better identify the contours of objects.)

行人检测HOG+SVM进行图片中行人检测，提供训练用的pos和neg样本，效果还可以；没有SVM工具箱的，压缩包里已经提供了，安装一下即可(Pedestrian detection HOG + SVM for pedestrian detection in pictures, providing POS and neg samples for training, the effect is good; without SVM toolbox, the compression package has been provided, just install it.)

非线性贝叶斯过滤与应用估算和导航，非常不错的粒子滤波英文论文(Nonlinear Bayesian filtering with applications to estimation and navigation)

该程序可以对图像进行二值化处理，提取边缘点坐标。(The program can be two-valued image processing, extraction of the edge point coordinates.)

实现BMP文件的基本功能。用C++实现一个Class，该Class具有读写BMP文件功能；该Class还具有对图像像素进行操作的功能（针对每个像素的读、写） (BMP files to achieve the basic functions. Using C++ implementation of a Class, the Class has read and write BMP file functions the Class also features the image pixel operation function (for each pixel of the read, write))

信号处理的小波导引：稀疏方法（原书第3版） 《信号处理的小波导引：稀疏方法（原书第3版）》全面论述了稀疏表示的重要概念、技术和应用，反映了该主题在当今信号处理领域所起的关键作用。作者在解释了稀疏的主要概念后将其运用于信号压缩、噪声衰减和逆问题，同时给出了冗余字典、超分辨率和压缩感知中的稀疏表示。 　　本书既可以让应用数学系的学生了解数学公式的工程意义，也可以让计算机及电子工程系的学生了解工程问题的数学描述。对于小波理论与应用的研究人员，本书更是一本极具价值的参考书。(a Wavelet Tour of Signal Processing(Third Edition.The Sparse Way))

Compression of face images impact the performance of face recognition (FR) systems. JPEG Region of Interest (JROI) compression maintains high image quality in facial regions while compressing the background more, with minimal impact on FR performance.(Compression of face images impact the perf ormance of face recognition (FR) systems. JPEG Region of Interest (JROI) compression maintai ns high image quality in facial regions while co mpressing the background more, with minimal impact on FR performance.)