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psf
说明： matlab编写计算直边图像的点扩散函数PSF(Compiling Point Spread Function ( PSF) for Computing Straight Edge Images with MATLAB)
- 2021-03-25 15:19:14下载
- 积分：1
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picture_match_matlab_sub_pixel
MATLAB实现基于互相关的亚像素级图像匹配/配准源代码，可以使用(MATLAB based on the cross-correlation of sub-pixel image matching/registration source code, you can use)
- 2013-03-04 17:10:46下载
- 积分：1
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OpenCVexe_02
读取一个文件夹中的任意数量图片，并对读入图片进行尺寸调整、灰度化处理、直方图均衡化处理，并显示图片(Read number of images from a folder, and adjust the size,do gray processing, histogram equalization processing with the pictures , and display pictures.)
- 2013-12-15 10:58:10下载
- 积分：1
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192168291092007531155683305865
Image Watershed Segmentation图像边缘提取(Image Watershed Segmentation Image Edge Detection)
- 2007-08-11 09:18:48下载
- 积分：1
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YOVH33
杭州电子科技大学acm题库中的1097的代码,如果有人需要拿去！()
- 2018-05-28 10:23:34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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LSB
此MATLASB源代码是LSB的图像数字水印的嵌入与检测，希望对需要者有用!(This source code is MATLASB image watermarking LSB embedding and detection, in the hope that those who need it useful!)
- 2008-06-08 21:53:54下载
- 积分：1
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adaptivethresholdImageSeg_TextDetection
说明： 自适应阈值的图像分割及文字提取技术，matlab，对学习基本原理有帮助(Adaptive threshold for image segmentation and text extraction technology, matlab, the basic principles of learning will help)
- 2008-11-17 11:25:53下载
- 积分：1
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haijian
说明： 多边形裁剪是逐次多边裁剪法，它的基本思想是以窗口的四条边界线单一逐次对多边形裁剪(polygon clipping is Successive multilateral cutting, its basic idea is a window four successive boundaries of a single polygon clipping)
- 2005-12-28 22:01:30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
