资源列表
ELM
- 极限学习机,类似单层神经网络学习,可以用于稀疏表示中数据训练分类-extreme learning machine
TCSVT_IRJSM_Code
- 关于图像去噪、复原、去模糊等方面的程序代码,已经经过实验,可以快速使用,相关文章,请下载说明。-On image denoising and restoration, to fuzzy program code, has been through the experiment, can quickly use, related articles, please download instructions.
Deep Learn 深度学习
- 基于深度学习的论文资料和最新的源代码学习资料,非常值得学习。-face recognition
image-restoration
- 对比五种模糊图像复原算法,包括:维纳滤波算法、约束最小二乘滤波算法、Richardson-Lucy(RL)算法、循环边界算法和最优窗算法。-introduces the five kinds of image restoration algorithms, including wiener filtration, constrained least squares filtering, Richardson-Lucy, cyclic boundary algorithm and optimal
Image-processing-code(4)
- 图像处理中的一些常用代码,包括:腐蚀操作 开启和闭合操作 形态学边界提取 形态学骨架提取 直接提取四个顶点坐标-Some of the commonly used image processing code, including: Opening and closing operation of corrosion morphology boundary extraction morphological skeleton extraction to extract four vertex coo
PIL-fork-1.1.7.win-amd64-py2.7
- pil win64位版,鉴于官网只有32位版本-pil win64
Visual-Attention
- 这是我自己根据Visual Attention Detection in Video Sequences Using Spatiotemporal Cues这篇文章写的matlab程序,比较好用,但是效果还有待完善,贴出来大家看看,有好的改进办法欢迎留言。压缩文件里面包含论文以及LC算法的代码。-This is based on my own Using Visual Attention Detection in Video Sequences Spatiotemporal Cues This
gmodify
- function gmodify(pic,uv,gm,og) 功能:对发生桶形畸变的数字图像进行校正 输入:pic-要处理的图像的路径文件名 uv-在发生畸变的图像上的点的坐标 gm-在未发生畸变的图像上对应点的坐标 og- 代表对称中心,它是一个二维向量-the function of gmodify is aimed to rectifying the digital image in which Barrel Distortion has emerged
Basic-Digital-Processing-Algorithms
- C++ 实现了多个数字图像处理的基本算法,傅里叶变换,直方图,细化,各种滤波器算法。-C++ implementation of the basic algorithm plurality of digital image processing, Fourier transform, histogram, refinement, various filter algorithms.
colorfullfusion
- 基于小波变换的多聚焦图像融合 RGB三通道 高频 低频-Fusion RGB three-channel high-frequency low-frequency multi-focus image based on wavelet transform
high-speed-scanner-SDK
- 高拍仪二次开发包,VideoInput ActiveX references-high speed scanner SDK,VideoInput ActiveX references
BlockDetect
- 基于opencv的模板匹配方法,检测图片中存在的多个物体,以方块检测为例。可以用于一些互动的场景-object detect by template matching method