资源列表
Code
- 对比度增强框架和JPEG伪像抑制 去雾 去霾 增加图像压缩后的清晰度和复原度-Contrast enhancement framework and JPEG artifacts suppression defogging haze to increase clarity and restoration of the compressed image
hap_windendro
- 本程序位集成的树木年轮图像处理软件，在32位系统下运行-This program integrates bit Dendroanalysis image processing software, running in 32-bit systems
Binary-Image-and-Image-Translation
- 利用“二值图像与原图像做点乘,得到子图像”的原理.，编写M程序，构造特殊的二值图像，最终得到需要的子图像。 编写M程序，实现图像的平移，要求两个平移量TX、TY可取正负值 。 -By using the principle of multiplying the binary image and the original image to get the sub-image, the M program is programmed to construct a special bina
NDVI_ratio4
- 对NDVI时序数据进行SG滤波处理并提取物候期-NDVI were filtered and extracted SG was late
Adaboost-FaceDetection-master
- 用于人脸检测的haar+adaboost matlab的代码-For face detection haar+adaboost matlab code
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)