extract_feature

说明：  傅立叶变换在图像处理中的重要作用： (A) 图像增强与图像去噪 绝大部分噪音都是图像的高频分量，通过低通滤波器来滤除高频噪声；边缘也是图像的高频分量，可以通过添加高频分量来增强原始图像的边缘； (B) 图像分割与边缘检测 提取图像高频分量 (C) 图像特征提取 形状特征：傅里叶描述子 纹理特征：直接通过傅里叶系数来计算纹理特征 其他特征：将提取的特征值进行傅里叶变换来使特征具有平移、伸缩、旋转不变性 (D ) 图像压缩 可以直接通过傅里叶系数来压缩数据；常用的离散余弦变换是傅立叶变换的实变换； (Fourier transform in the important role of image processing: (A) image enhancement and image denoising Most of all images of high frequency noise by low pass filter to filter out high frequency noise edge is the image of the high frequency components can be enhanced by adding high frequency components to the edge of the original image (B) Image segmentation and edge detection High frequency components extracted image (C) image feature extraction Shape features: Fourier descriptors Texture: directly through the Fourier coefficients to calculate the texture features Other features: The characteristic value extracted by Fourier transform to the characteristics of translation, scaling, rotation invariance (D) image compression Fourier coefficients can be directly compressed data commonly used discrete cosine transform is the Fourier transform of the real transformation 朗读显示对应的拉丁字符的拼音)

在MATLAB下的红外图像检测源码(In MATLAB under the infrared image detection source)

对采集到的干涉条纹进行二值化，形态学细化等基本处理(The collected interference fringes binarization, thinning and other basic morphological processing)

基于SUSAN特征检测算子的边缘提取，添加图片即可运行，可自行根据图片特征设置参数得到较好的边缘检测效果(Edge detection feature extraction SUSAN operator, add images to run, you can set your own parameters to get a better edge detection based on image characteristics)

在此文档中，可以实现图形字母的识别，采用特征匹配的 方法，求取特征向量，一共13个(ocr)

基于基元共生矩阵的纹理特征提取。通过5个基本的方格来检测图像并生成图像的基元共生矩阵，并从矩阵中提取其纹理特征信息。(Texton occurrence matrix based texture feature extraction)

说明：  分析了如何利用小波变换技术对图像进行信息融合使读者从整体上对医学图像融合技术有一个比较清楚直观的理解 (Analysis of how to use wavelet transform to the image information fusion, so that readers from the whole of the medical image fusion technology has a relatively clear and intuitive understanding.)

说明：  频域图像增强，包含了多个实例，MATLAB环境下调试通过。(image enhancement in frequency domain)

给出了灰度图像（256*256大小）的三层高斯和拉普拉斯金字塔分解的程序和实现方法。内容包括：1.matlab源码，亲身实践，因为论文需要，自己专研的。完全可用。2.国外最先最权威的关于分解原理介绍的文章。以上两个内容中都有本人的悉心注释和思路总结，内容详尽。3.图示结果(code and principle of laplacian pyramid decomposition of a gray scale image are provided in the article.Contents are given in detail including the notes and usage. )

说明：  MTLAB编写的程序，包括形态学梯度检测二值图像的边缘、用水线阈值法分割图像等。(MTLAB preparation procedures, including detection of morphological gradient binary image of the edge of the water line thresholding segmentation images.)