资源列表
sift
- 一种sift提取特征算法的VC实现源代码,测试可以正确实现特征点的检测和提取-sift feature extraction codes by VC
ealbum040106-src
- 嵌入式+qt的数字相框设计源代码,简单易懂。-Embedded+ qt digital picture frame design, simple and easy to understand.
bmpreadmyself
- 实现位图信息,包括文件头,文件信息,位图像素信息等的读取。。代码量少而精,易读懂-Bitmap information, including the file header, the file information, such as bitmap pixel information read. . The amount of code concise, easy to read
uterus_permittivity
- This a 2-D coordinate graphic. Can use it to draw a graphic just by changing the data.-This is a 2-D coordinate graphic. Can use it to draw a graphic just by changing the data.
main
- 图像去雾处理,是关于何凯明的那篇获奖的文章的代码-Image processing to the fog, the essay is about winning articles He Kaiming code
SaperaDemo
- VC++调用sapera,实现图像匹配,图想相减,Blob分析。支持橡皮筋绘制矩形,设置匹配模板ROI。-VC++ call sapera, to achieve image matching, drawing like subtraction, Blob analysis. Support rubber band draw a rectangle, set the matching template ROI.
omp
- 压缩感知算法,正交匹配追踪算法,从收敛速度上看比传统算法优越很多,应用比较广泛。-Compressed sensing algorithm, orthogonal matching pursuit algorithm, from the point of view than the traditional algorithm convergence speed privileged lot, used widely.
iplab-2.8
- 开源图像处理软件,iplab version 2.8-open source image processing software iplab version 2.8
sp
- 压缩感知重构算法,子空间追踪匹配算法。它属于贪婪算法,在运行速度和重构概率上相对传统算法上要优越。-Compressed sensing reconstruction algorithm, subspace tracking matching algorithm. It belongs to the greedy algorithm, the running speed and reconstruction probability is relatively superior to the tr
COSAMP
- 压缩感知中重构算法,压缩采样匹配追踪算法,它属于贪婪算法,效果相对于MP,OMP 要优越-Compressed sensing reconstruction algorithm, compressive sampling matching pursuit algorithm, it belongs to the greedy algorithm, the effect relative to the MP, OMP superior to
fdtd_2d_yuanzhu
- 实现平面电磁波入射到2D无限长圆柱导体的电磁仿真,FDTD算法实现。-A plane wave incident on an infinitely long cylindrical conductor electromagnetic simulation, FDTD algorithm.
Wavelet_transform
- 将信号用小波函数SYM5分解到第5层,用minimaxi阈值选择对系数进行处理,消除噪声-SYM5 decomposition using the wavelet function signals to the fifth floor, use minimaxi threshold choice to deal with coefficient, eliminate noise
