-
MSER
MSER代码,实现最大稳定极值区域提取,经测试可用(The MSER code to achieve maximum stable extremal region extraction)
- 2012-11-19 13:53:21下载
- 积分:1
-
Axisch
各个坐标系之间的坐标变化:地心大地坐标到地心空间大地直角系,地心系和测站系,测站系和测站系等之间的变化,旋转,平移。(Coordinate changes between the various coordinate systems: geocentric geodetic coordinate system to the geocentric Cartesian space earth, geocentric system and station lines, change the station, such as lines and lines between stations, rotation, translation)
- 2013-12-31 23:31:40下载
- 积分:1
-
hsvquan
hsv的空间量化,要求输入为hsv空间中的图像。分别对h、s、v三个分量进行量化。(hsv space quantization, for admission to hsv space images. Respectively h, s, v 3 components quantified.)
- 2007-04-11 15:41:09下载
- 积分:1
-
face
用matlab写的人脸检测代码,具有很好的识别率,对做人脸识别,检测的研究有一定的帮助(the code is used to face detaction and it has a high rate.It is very useful for the search of face detaction )
- 2011-01-03 20:57:16下载
- 积分:1
-
atrous-NSCT
atrous NSCT图像融合算法 可直接使用 带有实验测试图(atrous NSCT image fusion )
- 2020-12-15 17:09:13下载
- 积分:1
-
hyper_SAE
用SAE 深度学习方法做的高光谱图像分析的一个例子。里面有sae方法还有高光谱图像的特征提取过程。(One example of the depth of learning to do with SAE hyperspectral image analysis. There are sae method has hyperspectral image feature extraction process.)
- 2015-08-15 10:38:05下载
- 积分:1
-
mygvf
自己设计的GVF模型图像分割程序,改进了初始轮廓的选择方法,快速分割。(GVF model designed image segmentation process to improve the initial outline of the selection method, rapid division.)
- 2009-05-19 19:21:58下载
- 积分:1
-
1
说明: 基于区域图和深度相似性表征的SAR图像分割,关于深度学习的一个文章,很有代表性,可以参考。(SAR image area map and characterize the depth of similarity based segmentation on a deep learning of the article, very representative, you can refer to.)
- 2016-10-21 16:53:17下载
- 积分:1
-
boostingDemo
adaboost的实现算法,可进行人脸的样本训练(implementation of the AdaBoost algorithm, can be a sample of people face training)
- 2009-03-07 15:00:00下载
- 积分:1
-
Images-denoising--based-on-wavlet
从原始图像产生噪声图像,使用db1执行2层小波,使用wpbmpen进行全阈值选择,采用硬阈值和软阈值处理方式,保存低频,进行图像降噪,并绘制各分解系数图像。(Generated noise image from the original image, using db1 wavelet perform two layers using wpbmpen full-threshold selection, using hard threshold and soft threshold approach, saving low frequency, image noise reduction, and draw the decomposition coefficients images.)
- 2013-11-22 15:55:18下载
- 积分:1