FCRN-DepthPrediction-master

训练了一个CNN模型用于土地资源分类，适用于遥感图像(A CNN model is trained for land use classification and is suitable for remote sensing images.)

说明：  运行jdxingtaixue文件，该程序用固定结构元素形态学对图像进行边缘检测(Run jdxingtaixue file, the program with a fixed structure element morphology of the edge detection)

可以成功实现双目视觉标定,在做试验的时候成功实现(Binocular vision can be successfully realize calibration tests in the time to do the successful implementation of)

用lbp实现纹理特征提取，并分类说明: 一共有三个m文件，一个是lbp.m, 存放主要的lbp算法， 一个是getmapping,用以做算法的辅助函数， 一个是lbptest.m,存放着测试代码。 这三个文件需要放到同一个文件夹，并在文件夹中添加相应的图片， 具体的图片名字见lbptest.m的代码，运行lbptest.m可以查看结果。代码最后给出效果图 这三个文件是最传统的LBP方法，有256种。(With lbp achieve texture feature extraction and classification Description: A total of three m files, one is lbp.m, store the main lbp algorithm, One is getmapping, helper functions for doing arithmetic, One is lbptest.m, kept the test code. These three documents need to put the same folder, and add the appropriate folder, pictures, See lbptest.m specific name of the picture of the code, run lbptest.m can view the results. Finally renderings code These three documents are the most traditional LBP method, there are 256 kinds.)

简单图像捕获源码程序，结合易语言数码设备支持库，调用API函数发送消息使数码设备捕获图像。(Simple image capture source program, combined with easy language digital equipment support library , call the API function to send a message so that digital devices to capture images.)

图像去噪，包括小波去噪、均值滤波、中值滤波、自适应维纳滤波等(Image denoising)

说明：  基于JPEG的图像压缩，觉得可用，同学的毕业设计作品(Based on the JPEG image compression that can be used, students design the graduation)

在做图像处理时用遇到图像的阈值分割，这是几种图像的阈值分割方法(In doing image processing with experience image threshold segmentation, which is one of several image thresholding segmentation method)

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)

关于计算机视觉和图像的matlab工具箱。包括相位一致性特征，空间特征检测，积分图像，非极大值抑制和滞后阈值，边链接和线段拟合，去噪，等(MATLAB and Octave Functions for Computer Vision and Image Processing。such as • Feature Detection via Phase Congruency • Spatial Feature Detection • Integral Images • Non-Maxima Suppression and Hysteresis Thresholding • Edge Linking and Line Segment Fitting • Test Grating for Edge Detection • Image Denoising • Surface Normals to Surfaces • Scalogram Calculation • Anisotropic diffusion • Grey Scale Transformation and Enhancement • Frequency Domain Transformations • Functions Supporting Projective Geometry • Feature Matching • Model Fitting and Robust Estimation • Fingerprint Enhancement • Interesting Synthetic Images • ASCII Image Generation • Rotation Transforms • Image Blending • Colourmaps and colour conversions • Image Display, Image Writing and Miscellaneous )