数字图像处理MATLAB版.冈萨雷斯.中文版

图像重定向源代码，本文提出一种网格变形框架，允许显著特征进行均匀缩放，从而保证图像内容的完整性，将变形分布到不重要的区域。(The source code of optimal scale stretching image redirection is presented, and an effective image redirection algorithm is proposed to better guarantee the integrity of the image.)

本书可作为信息处理、计算机、机器人、人工智能、遥感图像处理、认知神经科学等有关专业的高年级学生或研究生的教学用书，也可供相关领域的研究工作者参考。(This book can be used as information processing, computer, robot, remote sensing image processing, artificial intelligence, cognitive neuroscience and related professional senior student or graduate student s teaching resources, also can be used for reference in the related areas of research workers.)

基于Gabor 变换的地震反褶积正反变换程序，以及和维纳反褶积的对比程序 (Gabor transform based on seismic deconvolution forward and reverse transform procedures, and the Wiener deconvolution of the comparison program)

稀疏低秩去噪的MATLAB代码，包括OMP算法与KSVD算法(Sparse low rank denoising MATLAB codes, including OMP algorithm and KSVD algorithm)

说明：  图像处理 形态学分割 腐蚀 开运算和闭运算先腐蚀后膨胀先膨胀后腐蚀 膨胀(Morphological segmentation)

说明：  基于SegNet实现了车道线的识别。里面包含已经训练好的模型。(Lane line recognition based on SegNet contains the trained model.)

用VB写的画出波纹的程序(Written by VB painted corrugated procedures)

据的规范化程序,消除数据的量纲对处理结果的影响,数据点之间距离的计算程序(According to the standardized program, the influence of the dimension of the data on the processing results is eliminated, and the calculation program of the distance between the data points is obtained.)

说明：  1. 掌握利用脉冲响应不变法设计IIR数字滤波器的原理和具体方法。 2. 加深理解数字滤波器与连续时间滤波器之间的技术指标转化。 3. 掌握脉冲响应不变法设计IIR数字滤波器的优缺点及使用范围(1. Master the principle and specific method of designing IIR digital filter with impulse response invariant method. 2. Deepen the understanding of the technical index transformation between digital filter and continuous time filter. 3. Master the advantages, disadvantages and application scope of the design of IIR digital filter by the pulse response invariant method)

说明：  自己实现的BM3D图像去噪算法。它首先把图像分成一定大小的块，根据图像块之间的相似性，把具有相似结构的二维图像块组合在一起形成三维数组，然后用联合滤波的方法对这些三维数组进行处理，最后，通过逆变换，把处理后的结果返回到原图像中，从而得到去噪后的图像。(Image Denosing by Sparse 3-D Transform-Domain Collaborative Filtering.)