X光增强

基于灰度共生矩阵的纹理特征提取，输出为图像四个方向共十六个特征值(Gray-level co-occurrence matrix based texture feature extraction, the output image in four directions for a total of 16 eigenvalues)

图象降维算法,比如有名的LLE,PCA,ISOMAP......等,对研究图象分析的研究人员有很大的帮助(image dimensionality reduction algorithms such as the famous LLE, PCA, ISOMAP .... Image analysis of the study researchers will be very helpful )

　找出图象的最佳阈值，并显示它的二值图．(find the best image threshold, and it shows the value of Figure 2.)

此程序为用于主成分分析的matlab程序,可以输出贡献率及画出二维散点图(This program for principal component analysis of matlab, can output contribution rate and draw a 2 d scatter plot)

半全局立体匹配算法（SGM）的实现，已封装成类（SGM.cpp,SGM.h），内含有使用例程。(Semiglobal stereo matching algorithm (SGM) implementation has been packaged as such (SGM.cpp, SGM.h), using routines contained within.)

Fritz Keinert写的小波和多小波工具箱(Written by Fritz Keinert wavelet and multiwavelet Toolbox)

数字视频图像处理算法的经典书籍：数字视频和高清电视的算法和接口。(Digital video image processing algorithm of the classic books: Digital Video and HDTV Algorithms and Interfaces.)

我们提出了一个简单、灵活和通用的对象实例分割框架。我们的方法能有效检测图像中的对象，同时为每个实例生成高质量的 segmentation mask。这种被称为 Mask R-CNN 的方法通过添加用于预测 object mask 的分支来扩展 Faster R-CNN，该分支与用于边界框识别的现有分支并行。Mask R-CNN 训练简单，只需在以 5fps 运行的 Faster R-CNN 之上增加一个较小的 overhead。此外，Mask R-CNN 很容易推广到其他任务，例如它可以允许同一个框架中进行姿态估计。我们在 COCO 系列挑战的三个轨道任务中均取得了最佳成果，包括实例分割、边界对象检测和人关键点检测。没有任何 tricks，Mask R-CNN 的表现优于所有现有的单一模型取得的成绩，包括 COCO 2016 挑战赛的冠军。(Mask R-CNN code by HeKaiming)

PCB板检测的大概流程如下：首先存储一个标准PCB板图像作为参考标准，然后将待检测的PCB板图像进行处理，比较与标准PCB图像的差异。根据差异的情况来判断缺陷类型。(The approximate process of PCB board detection is as follows: first, a standard PCB board image is stored as a reference standard, and then the PCB board image to be detected is processed to compare the difference between the standard PCB image and the standard image. The type of defect is judged according to the difference.)

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.)