资源列表
daima
- 图像融合 将ct 和 mri进行融合 ，低频进行最大值选*，高频进行非参数正交多项式-image fusion
clear
- 已知一个二维数据，y=f(x), 想使得这个数据绕y轴旋转而成为一个旋转对称的三维数据-A two-dimensional data is known, y=f (x), to make the data around the Y axis and become a rotationally symmetric 3D data
FLICM
- 基于局部信息的模糊C均值聚类算法（FLICM），是在FCM聚类算法的基础上结合了图像的邻域信息，有更好的鲁棒性。-Fuzzy C-means clustering algorithm based on local information (FLICM), is a combination of neighborhood information image on the basis of FCM clustering algorithm has better robustness.
Bilateral-Filtering-aa-denoising
- 双边滤波器程序，该算法能够对图像进行降噪的同时很好的保留边缘信息，从而为后续的边缘特征点提取排除了噪声的干扰-Bilateral filter program, the algorithm can image noise reduction while well preserved edge information, so as to follow the edge of the feature point extraction rule out interference noise
test_UG_3Dnote
- UG用于3D标注的二次开发代码，包括3D标注的检索、查询及修改-for the 3D tagging of UG
Target-detection
- 本文选用了背景减法、帧间差分法和光流法。背景减法是通过将当前帧与背景帧相减得出灰度差值并将此差值与阈值比较判断是否有运动目标。-This paper chose the background subtraction and frame difference method and optical flow method.Background subtraction is through to the current frame and background frame subtraction gr
kalman
- 一张图像中含有噪声，应用此程序对含有噪声的图像进行卡尔曼滤波，使滤波后的图像效果较好-One image with noise, apply this procedure to the image with noise Kalman filter, the filtered image effect better
yaxiangsu
- 传统的边缘检测算法只能定位到像素级，不能得到精确的结果，亚像素是对像素进一步细分，是结果更精确-Traditional edge detection algorithm can only target the pixel level, you can not get an accurate result, the pixel sub-pixel is further broken down, as a result of more accurate
zishiyingzhongzhilvboRAMF
- 中值滤波对于高密度噪声基本失去效果，改进自适应中值滤波能够消除高密度噪声-Median filtering for noise basic loss effect of high density, improved median filter to eliminate high-density noise
zishiyingzhongzhilvbo
- 自适应中值滤波能够效果中值滤波噪声的边缘模糊的问题-Edge adaptive median filter median filter noise can effect the vague question
xianxingmubanlvbo
- 传统的中值滤波是用的方形窗口模板，线性模板能够克服方形模板的不足-Traditional median filter is a square window template with linear template can overcome the shortcomings of the square template
HOG
- HOG descr iptors 是应用在计算机视觉和图像处理领域,用于目标检测的特征描述器。这项技术是用来计算局部图像梯度的方向信息的统计值。