资源列表
5Comparative-DTCW
- 5Comparative Study of Dual-Tree Complex Wavelet ... ijsrp-july-2012-56-5Comparative Study of Dual-Tree Complex Wavelet ... ijsrp-july-2012-56
6CWT--analysis
- 6complex wavelet transform in signal and image analysis - D pc04-6complex wavelet transform in signal and image analysis- D pc04
7-Dual-Tree-M-Band-Wavelet
- 7Image Analysis Using a Dual-Tree M-Band Wavelet Tra ieeeIPdouble-7Image Analysis Using a Dual-Tree M-Band Wavelet Tra ieeeIPdouble
8Multiresolution-Texture-Gradient-
- 8Image Segmentation using Multiresolution Texture Gradient pxc3873579-8Image Segmentation using Multiresolution Texture Gradient pxc3873579
9m-band-DTCWT-
- 9m-band dual tree complex wavelet transform for 65I9-M-BAND-DUAL-TREE-COMPLEX-9m-band dual tree complex wavelet transform for 65I9-M-BAND-DUAL-TREE-COMPLEX
10Noise-covariance-DTCWT
- 10Noise covariance properties in dual-tree wavelet decompositions Chaux_C_2006_tip_ima_adtmbwt-image-dual-tree-m-band-10Noise covariance properties in dual-tree wavelet decompositions Chaux_C_2006_tip_ima_adtmbwt-image-dual-tree-m-band
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
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.
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
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
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
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