资源列表
plyloader
- VS2010平台,读取PLY文件的代码,通用性较好,使用OpenGL进行显示,以及简单的交互。-VS2010 platform, read PLY file code, common good, using the OpenGL display, and simple interaction.
gfNLM
- 一种去噪算法用于图形图形处理,NLM非局部滤波算法。-One kind of de-noising algorithm for graphics graphics processing, NLM nonlocal filtering algorithms.
cvThreshold
- visual C++下添加OpenCV库函数,实现图像阈值分割,代码含详细注释,适合学习。-Adding visual C++ under OpenCV library functions for image thresholding, the code contains detailed notes, suitable for learning.
Fourier-transform
- visual c++下导入OpenCV库函数,实现图像傅里叶变换,显示频谱图,代码含详细注释,适合学习。-Import under visual c++ OpenCV library functions achieve image Fourier transform, spectrum display, the code contains detailed notes, suitable for learning.
image-boundary
- visual C++导入OpenCV库,实现一个简单的图像处理例子,求图像的边界,本代码含详细注释,适合学习。-visual C++ import OpenCV library that implements a simple image processing example, find the image of the border, the code contains detailed notes, suitable for learning.
image-binarization
- 基于system generator实现图像二值化操作,需要matlab和ise软件联合开发-Based system generator for image binarization operation.Need matlab software jointly developed and ise
errorbar_plot
- 用IDL绘制 简单的错误提示工具条和进度条-Draw draws a simple error message toolbar and a progress bar with IDL
statics-handgesture
- 属于静态手势识别,能够识别手势:零、一、二、三、四、五的静态手势。识别率良好。-It is a static gesture recognition, to recognize gestures: zero, one, two, three, four, five static gestures. Good recognition rate.
sanjiejinlinshibie
- 该程序为三阶近邻模式识别方法,主要用于人脸识别。-The program is the third-order neighbor pattern recognition methods, mainly for face recognition.
tuxiang
- 实现打开bmp位图,图像的理想低通、高通滤波,巴特沃斯低通、高通滤波。-Implement open bmp bitmap image of the ideal low pass, high pass filter, Butterworth low-pass and high-pass filtering.
matlab-GUI
- 本文档是关于MATLAB图形用户界面GUI制作教程,对不熟悉MATLAB gui的初学者能很快掌握其用法 -This document is about MATLAB graphical user interface (GUI) production tutorial, unfamiliar MATLAB gui beginners can quickly master its usage
wavenumber_plot
- 读取影像,根据选取的影像像元,绘制波形图-Reads the image, pixel, drawing waveforms according to the selected image
