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cross-correlation-subpixel
采用归一化互相关的算法进行图像匹配，经过测试非常有效(Normalized cross-correlation image matching, tested very effective)
- 2015-04-09 00:36:53下载
- 积分：1
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elastix_example_v4.4
关于elastix医学图像配准算法库的例子程序，有助于分析elastix如何操作，是一个很好的教程(this is a example set of elastix library)
- 2021-03-06 17:49:30下载
- 积分：1
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BEMD-master
说明： BMED二维经验模态分解，用于处理二维信号(Two dimensional empirical mode decomposition)
- 2020-11-17 09:49:39下载
- 积分：1
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基于OpenCV的MPEG-7特征提取 MPEG7FexLib_src_OpenCV22
说明： 基于OpenCV的MPEG-7特征提取，c++代码(MPEG-7 feature extraction based on OpenCV)
- 2020-06-23 05:00:01下载
- 积分：1
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GrabCutSource
最经典之做，保证别人没有上传过
实现文章
“GrabCut" Interactive Foreground Extraction using Iterated Graph Cuts
用graphcut实现图像分割，效果非常好(The most classic to do to ensure that other people do not realize uploaded article GrabCut Interactive Foreground Extraction using Iterated Graph Cuts with graphcut realize image segmentation, has very good results)
- 2020-10-30 22:20:01下载
- 积分：1
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WaterMark_embed_and_pick
图像的嵌入与提取：VC++中在一个图像A中嵌入一图像B，并能把图像B提取出来。(Image embedding and extraction: VC++ in an image embedded in an image A, B, and B images can be extracted.)
- 2011-08-31 20:09:58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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96546
对于iOS图像旋转，精选ios学习编程源码，很好的参考资料。(For iOS image rotation, selection of learning IOS programming source code, a good reference.)
- 2013-12-09 12:08:18下载
- 积分：1
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yuv_to_rgb
YUV与RGB颜色空间之间的转换，转换效果很好的。(YUV and RGB color space conversion between the effect of a very good conversion.)
- 2007-12-10 14:12:13下载
- 积分：1
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MicrosoftCameraCodecPack-x64
可以Raw格式图片(you can open raw file with the .m code.)
- 2014-12-22 14:25:16下载
- 积分：1
