guiyihua

车型识别图像处理MATLAB代码可运行适合新手入门只用(car recognization adapted rookie study playplay)

gabor小波变换提取图像纹理信息，得到一维向量。(gabor wavelet transform to extract image texture information)

ITK的脑室图像分割,可以对脑部的图像用itk进行分割，用VTK来进行显示。(the segration of brain of ITK )

快速双边滤波器，对双边滤波器进行的改进，可以使用，对写论文的同学会有些帮助，可以参考看一下。(Rapid bilateral filter, to the improvement of bilateral filter, can be used, to write a paper of homecoming some help, you can refer to see.)

说明：  利用直方图均衡可以将对对比图进行调整，增强局部的对比度，特别在图像有用对比度相当接近的情况，直方图均衡可以很好的增强对比度使得图像的细节更清晰，达到图像增强的目的。(Histogram equalization can be used to adjust the contrast graph to enhance the contrast of the local image, especially in the case that the useful contrast of the image is quite close. The histogram equalization can improve the contrast degree so that the details of the image are clearer and the purpose of image enhancement is achieved.)

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 )

matlab实现图像处理的程序，这是一个关于脑扫描图像分割的程序，很完整(matlab image processing procedures to achieve, this is a brain scan on the image segmentation process, it is a complete)

地震数据处理中的基础的地震数据读取程序，MATLAB环境下应用(Seismic Data Reading)

小波分析用于图像融合，图像融合是将统一对象的两个或更多的图像合成在一幅图像中。(Wavelet analysis for image fusion, image fusion is to unify two or more objects in an image image synthesis.)

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.)