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本程序实现功能： 1、微机、IBM工作站segy格式文件的a)变面积、b)波形、c)波形加变面积显示； 2、AGC自动均衡显示； 3、用任意多边形选择剖面数据并提取归一化能量、修改选取数据。 (This program function: 1, microcomputer, IBM workstations segy format file of a) become area, b) waveform, c) waveform and become area shows 2, AGC automatic equilibrium display 3, with arbitrary polygon choose profile and extracted data normalization energy, modify, select data.)

基于Gabor小波变换的特征提取和人工智能的人脸检测系统源代码.(Based on the Gabor wavelet feature extraction and artificial intelligence face detection system source code.)

CCD工作原理教程 图像传感器原理介绍（CCD和CMOS介绍）(CCD image sensor principle works tutorial introduction (CCD and CMOS description))

二值图像处理运算是从数学形态学下的集合论方法发展起来的,尽管它的基本运算很简单，但是却可以产生复杂的效果。常用的二值图像处理操作有许多方法，如腐蚀、膨胀、细化、开运算和闭运算等等。本文对这些内容作些研究探讨， 希望对爱好图像处理的朋友有所帮助。(Binary image processing algorithms are developed set theory in mathematical morphology. Although its basic operation is simple, it can produce complex effects. Commonly used binary image processing operations there are many ways, such as corrosion, expansion, refinement, open operation and closed operation and so on. In this paper, some of these studies to explore, I hope to love image processing friends help.)

利用MATLAB对图像边界内部的部分进行填充，以便后期对图像处理(Using MATLAB within the boundaries of the part of the image to fill, so that the latter part of the image processing)

图像检测的算法，Faster R-CNN算法，先对整张图像进行卷积计算，然后通过感兴趣区域池化层(RoI Pooling Layer)将选择性搜索算法推荐出来的候选区域和卷积网络计算出的特征映射图进行融合，得到候选区域对应的特征矢量，这种共享卷积计算的操作极大地减少了卷积计算的次数。而且这些特征矢量的维度统一，方便后续的分类工作。通过感兴趣区域池化层处理卷积特征，并将得到的特征送往两个并行计算任务进行训练，分类和定位回归。通过这些方法和改进的框架，Fast R-CNN 用更短的训练和测试时长，取得了比 R-CNN 更好的效果(Faster R-CNN algorithm first convolutes the whole image, then fuses the candidate regions recommended by the selective search algorithm and the feature mapping maps calculated by the convolution network through the RoI Pooling Layer to get the corresponding feature vectors of the candidate regions, which greatly reduces the number of convolution calculations. Moreover, the dimension of these feature vectors is unified, which facilitates the subsequent classification work. The convolution feature is processed by the pooling layer of the region of interest, and the obtained feature is sent to two parallel computing tasks for training, classification and positioning regression. Through these methods and improved framework, Fast R-CNN uses shorter training and testing time and achieves better results than R-CNN.)

对图像进行滤波，顶帽变换并计算中心，有图片，可直接运行。(The image filtering, top-hat transform and Computing Center, there are images which can be directly run.)

粒子滤波 图像处理程序,内有5个用于图像处理的程序(partical filter)

做项目时写的关于相机图像采集、控制、图像处理、坐标计算、坐标显示等功能的小软件(Do item written on the camera image acquisition, control, image processing, coordinates of the calculation, the coordinates show features such as small software)

surf特征提取算法，较sift优良，包括示例和实验图片，还有算法原文(surf feature extraction algorithms, the more sift fine, including examples and experimental images, as well as the original algorithm)