资源列表
my BM3D
- C实现BM3D图像去噪算法，可以在vs 2010运行......(C implementation of BM3D image denoising algorithm, you can run NLM noise reduction in vs 2010)
MyCrustOpen
- 用delaunay三角剖分和网格填充对离散点云数据进行网格重建(Mesh reconstruction of discrete point cloud data using Delaunay triangulation and mesh filling)
leaf_recognition
- matlab实现，根据树叶的边缘曲率进行树叶分类(classify leaves according to the curvature of leaves)
Three_convolution
- matlab实现对图像的双三次卷积内插，以图像的缩放为例子(Matlab to the image of the double triple convolution interpolation, with the image zooming as an example)
motioncolor_detect
- 本代码为py-opencv 程序，实现运动物体检测，通过serial与下位机通讯，可移植于windows，linux，以及树莓派，nanopi等平台或设备上，(This code is py-opencv program, to achieve moving object detection, through the serial and the slave computer communication, can be transplanted to windows, Linux, and ra
CV2
- STC目标跟踪算法，时空上下文目标跟踪算法(STC tracking(Spatio-Temporal Context),use STC to track)
hough变换-matlab
- 对图像进行hough变换，观察像素点变换情况(The image is transformed by Hough, and the pixel transformation is observed)
halcon-轮廓模板匹配
- 用halcon实现轮廓模板匹配，可实现已调试，可作为学习参考(Using Halcon to achieve contour template matching, can be achieved debugging, can be used as a learning reference)
PCA
- 高光谱遥感与传统的单波段、多光谱数据相比，波段量大量增加、波段宽度极大降低，对地面目标的光谱特性的测度更加细致，然而波段的增多必然导致数据量急剧增加、计算量增大、信息冗余增加以及统计参数的估计偏差增大。因此，对高光谱数据进行降维处理具有重要意义。一方面，降维能够使图像远离噪声，提高图像数据质量；另一方面，能够去除图像中的无价值波段，减少波段数，从而降低计算量，提高运算效率。主成分分析是常用的高光谱数据降维处理方法之一。(Compared with the single band, hypersp
SRF
- 一种低秩填充算法，SRF算法。通过低秩及相关性恢复矩阵数据。(Low rank filling algorithm)
PCA
- 利用matlab进行pca主成分分析，简单易懂，适合新手(The use of MATLAB PCA, principal component analysis, simple, suitable for beginners)
src
- 一种快速匹配的算法，实现在图像中以置信度来查找对象。(find objects in an image with a confidence percentage.)