资源列表
2015-LiYuming-IQA
- LiYuming2015年在Neurocomputing发表的基于剪切变换和深层神经网络的无参考图像质量评价的文章源码及论文No-reference image quality assessment with shearlet transform and deep neural networks-No-reference image quality assessment with shearlet transform and deep neural networks
readBmp
- bmp文件读取，将彩色图像转换为灰度图像，然后做FFT处理，存储灰度图像和FFT图像-read and write bmp files, FFT
Graphics
- 一个集成的图形界面的程序，可调用每一次作业子程序。一、调用画点的函数，用DDA、中点算法画直线和中点算法画圆和椭圆。二、多边形扫描转换算法和区域填充算法实现（扫描线算法为必做，基于求余运算的边缘填充和边标志算法为任选；基于种子的区域填充采用4连通区域的递归种子填充算法，或扫描线种子填充算法，要求种子点(x,y)可交互输入）。三、线段裁剪和多边形裁剪算法的动画演示实现。（两种线段裁剪算法和H-S多边形逐边裁剪算法）多边形裁剪算法的动画演示要求先画出一个封闭的多边形，再画矩形的裁剪窗口，然后选择裁剪
Elliptical-area-target-tracking
- 椭圆区域目标跟踪算法，可以实现跟踪目标轨迹并显示-Elliptical area target tracking algorithm can track the target track and display
image
- 图象分割的一个课件，由中科院自动化研究所潘春洪老师讲解的。
Susan
- SUSAN算子提取特征点分布合理，不需要对图像求导，所以又较强的抗噪声能力-SUSAN operator to extract characteristic points distribution is reasonable, does not require image derivation, it is also strong resistance to noise
bianyuanjiance_prewitt
- 图像处理prewitt算子，用于图像的边缘检测，此算法相比于其他算法更加具有去噪特性。-Prewitt image processing operator, is used to detect the edges of the image, this algorithm is compared to other algorithms have more de-noising characteristics.
graph-cut-papers
- 图割英文文章10篇，近期发表。学习图割的人非常有用！-Ten graph cut English articles recently published. People learning graph cut are very useful!
CamCal_Tsai
- 摄像机标定的整个完整的算法,,速度较快，是有很好的参考价值！-camera calibration of the entire integrity of the algorithm, multi-purpose video processing reference value,very good!
harris-test
- 用opencv和matlab同时实现的harris角点检测算法，自己写的，已通过测试，效果良好-Harris corner detection algorithm implemented at the same time using opencv and matlab, wrote it myself, has been tested to good effect
tuxiangchuli
- 该课件详细的讲述的图象处理的具体方法.详细的介绍了图象处理中比较经典的算法,在一些章节中还列出了一些算法的程序实现(MATLAB,C,C++,VC等),是一份很好的参考资料.
vtkExample
- 基本的vtk入门示例，适合新手学习和体验。(basic vtl learning example for cainiao)