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pcnn
详细介绍PCNN算法用于lena图像分割的实例，并用matlab实现(Detailed the PCNN algorithm for instance lena image segmentation and implemented using matlab)
- 2020-07-03 10:20:02下载
- 积分：1
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BM
说明： 双目测距bm算法，已经实现,基于vs2015+opencv3.2,测距精度很高，一米内精度一厘米误差(Binocular ranging bm algorithm, which has been implemented, is based on vs2015 + opencv3.2, which has high accuracy and one centimeter error in one meter)
- 2017-09-04 19:43:02下载
- 积分：1
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DCT_JPEG
给予matlab的JPEG压缩程序，包含原始压缩图片，程序对灰度bmp图片进行JEPG编码，压缩成以0101形式的编码。JPEG编码先把图象色彩RBG变成亮度Y和色度Cr、Cb，它利用人的视觉对色度不敏感的特点，减少一部分色度数据，以达到压缩。 JPEG采取多种编码方式，包含有行程编码(Run Length Coding)和哈夫曼(Huffman)编码，有很高的压缩比。在编码前，先对数据进行分块，离散余弦变换（DCT）及量化，保留能量大的低频信号，丢弃高频信号以达到压缩。(Given to the JPEG compression matlab program, contains the original compressed image, the program of the grayscale bmp picture JEPG encoded, compressed into a 0101 form of encoding. RBG color coded JPEG image into a first luminance Y and chrominance Cr, Cb, which uses the human visual characteristics is not sensitive to the color, reduce the number of color data to achieve compression. Take a variety of JPEG encoding, includes length coding (Run Length Coding) and Huffman (Huffman) coding, a high compression ratio. In the code before the data block, discrete cosine transform (DCT) and quantization, to retain a large low-frequency signal energy, discarding high-frequency signals in order to achieve compression.)
- 2011-05-16 17:00:59下载
- 积分：1
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gkde
Gaussian Kernel Density Estimation with Bounded Support
- 2008-05-22 20:15:32下载
- 积分：1
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kuaipipei
基于亚像素运动估计算法的块匹配运动，有源码跟参考文献，初学的小伙伴可以看看(Block-matching motion estimation algorithm based sub-pixel motion, there is source code with references, beginner can look at a small partner)
- 2020-08-10 15:18:30下载
- 积分：1
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用matlab做的图像分割手势识别
matlab,图像分割手势，不是用摄像头的，是将图片输入进去识别使用MATLAB进行图像分割(Matlab, image segmentation gesture, not with the camera, is to input pictures to identify the use of MATLAB image segmentation)
- 2018-12-05 13:48:55下载
- 积分：1
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85375563DSCM_v1.0
曲面拟合法是一种高精度、计算量小、抗噪性能强的方法，当前已被广泛地应用于
各种场景。比如岩石材料的变形测量、电子器件变形的测量、基于掌纹图像相关匹
配的重复定位技术等。曲面拟合法能够成功计算出亚像素位移的前提是整像素搜索阶
段可以正确搜索出模板的整像素匹配点，一旦整像素匹配点搜索出现错误，那么亚像素
测量阶段所得到的位移距离就会失去意义。
使用不同的拟合函数对相关系数矩阵进行曲面拟合，会对结果产生一定的影响，比
较常用的拟合函数有二次函数、三次函数、高斯函数等。(Surface fitting method is a high-precision, computational complexity is small, strong anti-noise performance method, has been widely used in various scenes. For example, deformation measurement of rock materials, deformation measurement of electronic devices, and repetitive location technology based on palmprint image correlation matching. Surface fitting method can successfully calculate the sub-pixel displacement on the premise that the whole pixel search stage can correctly search the template of the whole pixel matching point, once the whole pixel matching point search error, then the sub-pixel measurement phase of the displacement distance will be meaningless.
Using different fitting functions to fit the surface of the correlation coefficient matrix will have a certain impact on the results. The commonly used fitting functions are quadratic function, cubic function, Gaussian function and so on.)
- 2018-09-26 21:46:28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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ksvd-omp
实现稀疏表示算法，以lena图像为例，主要用ksvd和omp算法(The sparse representation algorithm is implemented. The Lena image is taken as an example, mainly using the ksvd and OMP algorithms.)
- 2020-06-28 20:00:01下载
- 积分：1
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PCA
应用matlab对多通道遥感影像进行主成分变换，就出含有最大信息量的主成分(Application of PCA matlab multi-channel remote sensing image, containing the principal component of the maximum amount of information)
- 2020-10-24 10:47:21下载
- 积分：1
