-
iterative phase retrieval algorithms
说明： 一些相位迭代算法，还挺有用的，可以直接拿过来使用(iterative phase retrieval algorithms)
- 2021-04-18 19:58:51下载
- 积分：1
-
SAR_Clutter
SAR杂波统计建模方面的源程序，不仅可以能为SAR图像去噪工作提供数据源，更是研究SAR图像分割方面的很好的工具。(SAR clutter statistical modeling of the source, not only for SAR image denoising can provide the data source, but also aspects of SAR image segmentation a good tool.)
- 2010-11-12 00:05:13下载
- 积分：1
-
bianjieXY
程序可以提取点云数据的特征点，提取三维散乱点云的边界(Program point cloud data can be extracted feature points extracted boundary of D Scattered Clouds)
- 2013-09-09 20:55:05下载
- 积分：1
-
bits2img
将处理过的二进制比特流写入图像，保存显示 (The treated binary bit stream to write the image )
- 2014-12-05 13:21:33下载
- 积分：1
-
opencv图像处理算法（softskin.cpp）
opencv图像处理算法
- 2020-12-01下载
- 积分：1
-
KSVD_Matlab_ToolBox
KSVD工具包,可以用于去噪增强等多种领域,具体方法是先训练方向,然后沿方向进行(KSVD toolkit can be used to enhance various areas of de-noising, the specific method is the first training direction, and then along the direction)
- 2008-04-04 19:53:54下载
- 积分：1
-
峰值旁瓣比和积分旁瓣比
说明： 评估指标为点目标距离向和方位向峰值坐标、峰值旁瓣比、一维积分旁瓣比、剖面图(The evaluation indexes are peak coordinates, peak sidelobe ratio, one-dimensional integral sidelobe ratio and profile of point targets in range and azimuth directions.)
- 2021-03-30 17:49:09下载
- 积分：1
-
7kindsmotionestimationalgorithm
集成了多种块运动估计算法，对刚接触运动估计算法的同学非常具有参考价值。(Integration of a variety of block motion estimation algorithm for motion estimation algorithm刚接触students have great reference value.)
- 2007-07-20 14:24:24下载
- 积分：1
-
BM3D
本人收集的BM3D资料，包括文献，代码，实验效果图，希望对大家有用(I collected BM3D information, including documentation, code, experimental results map, want to be useful)
- 2011-08-23 11:37:49下载
- 积分：1
-
PG_BOW_DEMO
图像的特征用到了Dense Sift，通过Bag of Words词袋模型进行描述，当然一般来说是用训练集的来构建词典，因为我们还没有测试集呢。虽然测试集是你拿来测试的，但是实际应用中谁知道测试的图片是啥，所以构建BoW词典我这里也只用训练集。
其实BoW的思想很简单，虽然很多人也问过我，但是只要理解了如何构建词典以及如何将图像映射到词典维上去就行了，面试中也经常问到我这个问题，不知道你们都怎么用生动形象的语言来描述这个问题？
用BoW描述完图像之后，指的是将训练集以及测试集的图像都用BoW模型描述了，就可以用SVM训练分类模型进行分类了。
在这里除了用SVM的RBF核，还自己定义了一种核： histogram intersection kernel，直方图正交核。因为很多论文说这个核好，并且实验结果很显然。能从理论上证明一下么？通过自定义核也可以了解怎么使用自定义核来用SVM进行分类。(Image features used in a Dense Sift, by the Bag of Words bag model to describe the word, of course, the training set is generally used to build the dictionary, because we do not test set. Although the test set is used as the test you, but who knows the practical application of the test image is valid, so I am here to build BoW dictionary only the training set.
In fact, BoW idea is very simple, although many people have asked me, but as long as you understand how to build a dictionary and how to image map to the dictionary D up on the line, and interviews are often asked me this question, do not know you all how to use vivid language to describe this problem?
After complete description of the image with BoW, refers to the training set and test set of images are described with the BoW model, the training of SVM classification model can be classified.
Apart from having to use the RBF kernel SVM, but also their own definition of a nuclear: histogram intersection kernel, histogram )
- 2011-11-01 17:01:09下载
- 积分：1
