资源列表
Unet-master1
- 适用对象：小样本数据。功能：分割各种类型图像。评价：效果良好的深度学习算法。(Applicable object: small sample data. Function: Segmentation of various types of images. Evaluation: A good deep learning algorithm.)
fftw3-for-Windows And android
- FFTW源码及各平台库文件（arm64-v8a平台、armeabi平台、armeabi-v7a平台、mips平台、mips64平台、x86平台、x86_64平台等）(FFTW source code and library files(arm64-v8a, armeabi, armeabi-7a, mips, mips64, x86, x86_64))
DeepLearningImageClassificationExample
- 这是一个标准的深度学习图像分类和目标跟踪的matlab程序，效果好，运行平台为matlab2017b.(This is a standard in-depth learning image classification and target tracking matlab program, good results, running platform for matlab 2017b.)
LKpyramid_backup
- 金字塔LK光流计算的代码。运行时在当前目录下添加需要检测的视频或照片。 运行'main_video.m' 或 'main_image.m'(Run 'main_video.m' or 'main_image.m' Put your video or images in the current folder when running)
GUI界面设计范例
- GUI界面设计范例，电信课程设计，有源代码，有PPT讲解(GUI interface design example, telecommunications course design, source code, PPT explanation)
main
- 使用matlab对交通标志进行定位，用MATLAB强大的计算功能和各种功能齐全的函数,图像工具箱来进行道路交通标志的识别(Using MATLAB to locate traffic signs)
LoG算子边缘检测
- matlab平台下，使用log算法对图像中的目标进行边缘检测(On MATLAB platform, using log algorithm to detect the edge of the object in the image)
canny edge detection
- canny边缘检测算法，在python环境中可实现边缘提取。(The canny edge detection algorithm can implement edge extraction in a python environment.)
MATLAB图片点的像素坐标
- 基于MATLAB平台下，可获取图片任意点的像素坐标。(Based on MATLAB platform, the pixel coordinates of any point in the picture can be obtained.)
区域生长法
- 区域生长法进行图像分割，通过选取合适的种子点，将感兴趣区域分割出来。(The region growing method is used for image segmentation, and the region of interest is segmented by selecting appropriate seed points.)
2
- 基于稀疏分解的形态学成分分析，在分解图像的同时完成了去噪任务。(Based on the morphological component analysis of sparse decomposition, the image is decomposed and the denoising task is completed at the same time.)
toolboxLS-1.1.1
- UBC 的教授开发的一款非常好用的水平集工具箱，内含完整的说明文档，算例也很丰富，易于拓展。(A level set toolbox provided by Prof Ian M. Mitchell from UBC. Well organized toolbox with good examples. Very convenient to extend to your own usage.)