资源列表
A
- 均方误差信噪比 峰值信噪平均绝对误差的计算-Write MATLAB functions that take two grayscale images as input, and calculate the following image difference metrics: Mean Squared Error (MSE) Signal to Noise Ratio(SNR) Peak Signal to Noise Ra
EDIT_PADS_ASCII
- 处理PADS ASCII 文件的程序，可以通过读入ASC文件，对其中的参数进行修 改。-edit pads or powerpcb*.asc file, pad,lines,auto size.
gpx4jpg
- 照片地理信息修正工具。利用手机或者其他手持移动设备抓下来的.gpx地理信息文件（包含时间戳和GPS经纬度信息），来实现昂贵的相机GPS模块功能。具体用法: gpx4jpg.py <.gpx file> <pic dir> 第一个参数是.gpx文件，第二个参数是批量处理的照片目录。-Photo geographic information correction tool. Use of mobile phones or other handheld mobile
cg-opengl
- 利用OPENGL及库函数实现模拟出一个高度随机的地形，并贴纹理，实现高度不同，颜色不同-Use OPENGL and library functions to simulate a highly random terrain and texture paste, to achieve different heights, different colors
sotu
- 集成图像特征处理常用方法的exe程序以及源代码pdf说明-Common method of integrated image processing features an exe program and source code pdf descr iption
Teapot
- OPENGL中，利用GLUT中的已知函数实现对基本图形的绘制，如茶壶等，还可以通过修改参数实现缩放，旋转，平移等-OPENGL, using the known GLUT functions to achieve the basic graphics rendering, such as teapots, etc., can also be achieved by modifying the parameter scaling, rotation, translation, etc.
sift-code-and-source-code-Comments
- 基于c的sift源代码实现以及源代码详解-Based on the c sift source code and source code Comments
pinjie
- 使用opencv实现两张图像拼接算法，使用opencv2.3以上版本的stitcher类实现。-Using opencv achieve two image stitching algorithm, opencv2.3 above version of the stitcher class implementation.
DistanceRegularizedLevelSet
- "Distance Regularized Level Set Evolution and Its Application to Image Segmentation"文章及算法实现，运行demo_1,demo_2即可，希望对研究水平集的人有所帮助-" Distance Regularized Level Set Evolution and Its Application to Image Segmentation" article and algorithm implem
opencvtest12
- 基于opencv的图像拼接，使用很方便，可以直接下载使用-Based on opencv image stitching, very easy to use, you can directly download
CCD
- CCD采集识别一维条码，已测试通过,使用LABVEW开发环境，USB CCD相机-CCD acquisition identify one-dimensional bar code, have been tested
PF_tracking
- 用粒子滤波 颜色直方图对目标跟踪 抵抗遮挡效果很好 -Color histogram with particle filter for target tracking resistance occlusion effect is very good