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shapefromshading_varynoise
estimate shape of a noisy image from the shading information
- 2013-09-12 17:40:57下载
- 积分：1
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Harris
Harris角点检测算法,已经测试通过,程序中有清晰的注解，对于算法的理解有较大的帮助．(Harris corner detection algorithm has been tested, there is a clear process of annotation, the algorithm has a greater understanding help.)
- 2009-03-27 01:11:06下载
- 积分：1
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XIHUA
本程序是使用c++开发语言编写的，功能是将bmp图像进行细化处理，比如，可以将比较粗的汉字细化成较细的汉字。(This program used c++ development language, the function is to thinning BMP image . For example, it can be more crude refining the Chinese characters into a fine characters.)
- 2016-01-06 16:35:17下载
- 积分：1
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CTImageReconstruction
ct图像重建系统，本程序需要先安装和配置好vtk环境才能编译并以命令行方式运行。(ct image reconstruction system, the program you need to install and configure vtk environment to compile and run the command line.)
- 2015-12-15 17:21:08下载
- 积分：1
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6
[Wang 2011]The Meaning of Interior Tomography
- 2013-10-31 23:02:32下载
- 积分：1
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Color-Based-Segmentation
识别分割图像中不同颜色的部分，并分别显示出来(Identifying portion dividing the image in different colors, and were displayed)
- 2014-05-01 21:49:20下载
- 积分：1
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FuzzyAGV
用C charp编写的图像滤镜效果，包括源代码。(Image filter effects)
- 2014-01-03 09:05:00下载
- 积分：1
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tiaowenchuli
对采集到的干涉条纹进行二值化，形态学细化等基本处理(The collected interference fringes binarization, thinning and other basic morphological processing)
- 2014-06-11 17:20:51下载
- 积分：1
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vtk建立三维模型
vtk建立三维模型
- 2015-01-01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
