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List-VCDProperties
IMAGING 工业相机图像灰度特征处理源代码，文件源码中集成了三方组件，非常有价值(IMAGING industrial camera image grayscale image processing source code, the source code to integrate the three party components, very valuable)
- 2016-06-20 14:27:50下载
- 积分：1
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matlab_register
说明： 使用matlab工具箱进行的图像配准，需提取特征点来实现配准(Using matlab toolbox for image registration, extraction of feature points needed to achieve alignment)
- 2008-10-14 15:23:25下载
- 积分：1
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低秩分解应用
说明： 图像盲复原，图像非盲复原，利用低秩分解进行图像盲复原处理，RPCA模型算法，GoDec模型算法。(Blind image restoration, non-blind image restoration, low rank decomposition)
- 2019-05-20 10:23:08下载
- 积分：1
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maximumentropy
最大熵图像复原方法，效果还好，这是最近努力的结果，不过或许需要适当的改进之后会有更好的结果，分享一下(Maximum entropy image restoration method, the effect Fortunately, this is the result of recent efforts, but may need to be appropriate to improve after the better results, share)
- 2008-12-24 14:26:23下载
- 积分：1
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Nystrom-Ncut
图论分割算法之一“Nystrom Ncut”MatLAB源程序。(MatLAB codeof “Nystrom Ncut”.)
- 2011-11-13 21:40:46下载
- 积分：1
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nirmaf
移动窗口算法平滑光谱矩阵，用于近红外等光谱数据的预处理(Moving window spectral matrix smoothing algorithm for near-infrared spectral data, such as the pretreatment)
- 2020-07-02 20:40:01下载
- 积分：1
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snake
说明： 将物体用一堆点框出来，实际先初始化一堆点，然后迭代靠近物体边缘最终框出物体。(The object is framed with a pile of points. In fact, first initialize a pile of points, then iterate close to the edge of the object, and finally frame the object.)
- 2021-02-27 22:31:23下载
- 积分：1
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sliding
说明： 使用matlab中的nlfilter来进行邻域处理(Using nlfilter in MATLAB to process neighborhood)
- 2019-05-21 14:39:32下载
- 积分：1
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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
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bgs_track.cpp
Tracking based on background subtraction
- 2013-09-26 18:20:35下载
- 积分：1
