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zhangs-calibration
张正友相机标定源码，数据及图片，包含说有文件，能正常运行(zhang s calibration)
- 2015-04-08 11:51:09下载
- 积分：1
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CBIR
综合多个特征的图像检索，包括颜色、形状和纹理等(Integrated multiple features for image retrieval, including color, shape and texture)
- 2013-07-26 15:34:19下载
- 积分：1
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shearlet-aticle
剪切波是最近几年发展的图像处理的有利工具，这是几篇不错的论文，希望可以对大家有所帮助。(Shear wave is the last few years the development of image processing tool, this is a few good paper, hope to help everyone.)
- 2011-12-26 09:08:08下载
- 积分：1
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edge-detection
程序包括三种经典的边缘检测方法，均可独立运行，参数可调(Program includes three classical edge detection methods can be run independently, adjustable parameters)
- 2016-12-28 09:07:18下载
- 积分：1
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Speckle_reduction
说明： 用于SAR图像的相干斑抑制，内有增强Lee滤波，增强Kuan滤波，增强GammaMap滤波算法，还有等效视数，边缘保持指数的求法(For speckle suppression of SAR images, there are enhanced Lee filtering, enhanced Kuan filtering, enhanced GammaMap filtering algorithm, and the calculation of ENL and EPI.)
- 2019-03-30 17:23:15下载
- 积分：1
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yuanyuan
给予分水岭的图像分割，包括源代码、测试图、实验报告(Given watershed image segmentation, including source code, test plans, test reports)
- 2010-12-04 22:33:37下载
- 积分：1
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harriscorner
harrisconer角点检测，提取焊缝的角点位置信息，进行焊缝的特征识别(harrisconer extractionfeature extraction.The position information of the corner point of the weld is extracted and the characteristics of the weld are identified)
- 2017-12-17 16:58:09下载
- 积分：1
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652697
获取系统进程信息源码，程序结合易语言模块斩月_图像相关模块.ec，调用API函数实现屏幕差异传输。(Get system processes information source , combined with easy language module program _ Zangetsu image correlation module .ec, call the API function screen difference transmission .)
- 2016-10-26 00:42:37下载
- 积分：1
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LaoDazhongbasisofvariations
老大中 《变分法基础》，对图像处理很有用的一本书(Lao Dazhong 《basis of variations》 which is very useful in the image processing)
- 2010-12-29 10:26:53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
