Phase_Unwrapping_2D

一种基于直方图改进的FCM聚类水下图像分割算法 文献加matlab实现代码(Improved histogram based FCM clustering literature plus underwater image segmentation algorithm matlab code)

说明：  对图像进行显著性增强，并且将显著新部分分割处理(The image is significantly enhanced and the significant new part is segmented)

可以对边缘检测出来的椭圆,实现椭圆参数的自动提取,非常的好用,自己编写的,请各位大哥多指教,QQ:526289(be on the verge of testing the ellipse, the ellipse parameters to achieve the automatic extraction, very convenient, their preparation, please enlighten you more than big brother, QQ : 526289)

graphcut 图像分割经典论文 英文版(graphcut image segmentation classic paper in English)

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 )

说明：  计算机图形学ppt， 介绍计算机图形学基础(Computer graphics ppt, introduced the basis of computer graphics)

基于小波DWT域的脆弱水印，可以检测图像是否发生篡改(DWT-based wavelet domain fragile watermarking, can detect whether there has been tampering with images)

说明：  指纹图像预处理、特征提取、特征匹配的matlab程序及处理结果(Fingerprint image preprocessing, feature extraction, feature matching matlab program and processing results)

这是一个经典的fourier translate 傅里叶变换的程序 计算图像的中心点并标记和傅里叶频谱图的最大能量环并标记(This is a classic Fourier transform fourier translate the program to calculate the center of the image and mark and Fourier frequency spectrum of the maximum energy ring and mark)

实现数字图像水印DWT域的水印可以进行水印的嵌入与提取(Realization of digital image watermark embedding and extracting watermark in DWT domain for watermarking)