资源列表
matlab-of-image-processing
- 本书讲述了运用matlab处理图像，适合初学者，并包含源程序。-The book tells the story of the use of matlab image processing, suitable for beginners, and includes source.
5frontiertree-pruning-algorithm
- D. Donoho and X. Huo (2001). Uncertainty principles and ideal atomic decomposition. up-D. Donoho and X. Huo (2001). Uncertainty principles and ideal atomic decomposition. up
Histogram-Equalization
- 直方图均衡化 实现灰度图片均衡到64-192后输出-Histogram Equalization
4Detectability-convex-shaped-
- 4A finite-sample simulation study of cross validation in tree-based models. 05-15 -4A finite-sample simulation study of cross validation in tree-based models. 05-15
whu-rs-lhy
- 武汉大学 遥感院 数字图像处理 实习 2011级学生实习-Wuhan University School of remote sensing digital image processing Internship
2simulation-cross-validation
- X. Huo and X. S. Ni (2009). Detectability of convex-shaped objects in digital images, its fundamental limit and multiscale analysis A07-3-X. Huo and X. S. Ni (2009). Detectability of convex-shaped objects in digital images, its fundamental limit and
1-stepwise-selection-criteria
- X. Huo and X. S. Ni (2007). When do stepwise algorithms meet subset selection criteria aos07-X. Huo and X. S. Ni (2007). When do stepwise algorithms meet subset selection criteria aos07
sssss
- SAR图像分割,主要从事图像分割方面事故的个人-sar img seg sdddffdhfdhg
Vibe
- ViBe运动检测,特点是建模速度快，在第一帧便完成了场景建模，缺点是容易产生ghost，需要安装opencv环境。-ViBe : motion detection
Coastline-Detection-In-SAr-Images
- 海岸线检测对海洋资源管理，目标识别有重要作用，本文主要研究海岸线检测-Shoreline detection of marine resource management, object recognition has an important role, the main research coastline herein detection
Untitled
- 椭圆检测。利用霍夫变换的原理实现椭圆的检测，并在图中标记出来，可用于方向盘的检测。-Ellipse detection. Using the principle of detecting the implementation of elliptic Hof transform, and marked in the graph, can be used to detect the steering wheel.
Statistical-Modeling-of-SAR-Images
- sar图像具有全天时，全天候的特性受人们青睐，但是存在斑点噪声，本文为去除噪声所用的各种统计模型-sar images have all day, all-weather features affected people of all ages, but there speckle noise, the paper used for removing noise of various statistical models