资源列表
pro
- 图像去雾处理-依据是否依赖大气散射模型，将现有的方法分为两类：基于物理模型的方法(图像恢复行为——如：暗通道优先法) 和非物理模型的方法(图像增强行为——如：直方图均衡化，retinex算法)。-Image defogging process- depending on whether the dependent atmospheric scattering model, the existing methods are divided into two categories: method (
sy2
- 改进的区域生长算法对CT图像的冠状动脉分割，效果不错，可以分到3级冠状动脉。代码全自己写的。-Improved regional growth algorithm for CT image of the coronary artery segmentation, the effect is good, can be divided into 3 coronary artery. Code written by himself.
EvaluateClassifAccuracy
- MATLAB代码，用于评价分类结果，输出kappa系数和整体精度的百分数-matlab code kappa index and overall accuracy
grabcut
- grabcut的Matlab程序，可运行-Grabcut program based on Matlab
SLICPdbscan
- 运用超像素分割算法对图像进行预分割，再利用dbscan聚类算法进行聚类最终实现图像分割。-The use of ultra-pixel segmentation algorithm for image pre-segmentation, reuse dbscan clustering algorithm to cluster the final image segmentation.
Image-processing-source-code
- 图像处理源代码，基于Hough变换的人眼虹膜定位方法，基于Kalman滤波的目标跟踪，基于模糊集的图像增强方法，基于蚁群算法的图像边缘检测。-Image processing source code, Hough transform based human eye iris location method, Kalman filter based target tracking, fuzzy set based image enhancement method, ant colony algor
ASM模型
- 使用MATLAB软件运行ASM模型对人脸进行检测和拟合(MATLAB software is used to run the ASM model to detect and fit the human face)
L1 Total Variation
- 利用L1范数TV正则化对影像进行超分辨率重建(Super resolution reconstruction of images using L1 norm TV regularization)
LabVIEW图像处理
- 石鑫华图像处理开发宝典pdf版--基于labview的图片处理(Picture processing based on LabVIEW)
基于SIFT特征的图像配准（Matlab源代码）
- sift算法实现，可以实现图像的配准，大量的特征点的寻找(siftThe implementation of sift algorithm can achieve image registration, a large number of feature points)
稀疏分解图像去噪
- 基于稀疏字典和稀疏编码的图像去噪算法，基于低秩约束的高光谱条纹噪声去除，包含论文及代码(Based on sparse dictionary and sparse coding image denoising algorithm, based on low rank constraints of hyperspectral fringe noise removal, including papers and code)
matlab背景差分法
- 利用MATLAB实现图像处理，实现图像背景分离。(Using MATLAB to realize image processing)