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通过maketform和cp2form指令将倾斜图形通过放射变换和投影变换纠正过来(By maketform and cp2tform instructions diagonal pattern by affine transformation and projection transformation corrected)
通过maketform和cp2form指令将倾斜图形通过放射变换和投影变换纠正过来(By maketform and cp2tform instructions diagonal pattern by affine transformation and projection transformation corrected)
说明: 该代码实现了使用Matlab实现卷积神经网络来对图像进行去雾操作。(This code implements a convolutional neural network using Matlab to defog the image.)
MKL多核学习综述文章对应的很多MKL代码的合集,里面有很多有代表性的代码,非常详细!(MKL multicore learn many review articles MKL code corresponding collection, there are a lot of representative code, very detailed!)
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. )
计算一幅图片参数的程序合集(信息熵、对比度、平均亮度、清晰度)(informationentropy,constrast,luminosity,avegrad)
基于压缩感知的图像加密算法,稀疏基用的是小波,重构用的是OMP(Compressed sensing image encryption algorithm)
说明: 一些相位迭代算法,还挺有用的,可以直接拿过来使用(iterative phase retrieval algorithms)
数字全息分区算法模拟,用于从一副同轴全息图中恢复出物体的像(digital holography)
数字全息分区算法模拟,用于从一副同轴全息图中恢复出物体的像(digital holography)
本文首先对数字全息技术的记录和再现的基本原理、数值重建算法、频谱滤波方法,数字全息图的记录条件、再现光场的分离条件等基本问题进行了分析讨论(Firstly, the basic principle of the recording and reproducing of the digital holography, numerical reconstruction algorithm, the spectral filtering method, the digital hologram recording conditions, reproducing conditions of separation of the light field, and other basic issues discussed)
全息图的建立与重现 比较简单 但是有说明 比较容易懂(The establishment and reproduce hologram is relatively simple but relatively easy to understand instructions)
虹膜图像识别的完整程序,包括预处理,Hough变换定位中心,汉明距离匹配等。(Complete program iris recognition, including pretreatment, Hough transform positioning center, Hamming distance matching.)
用DWT实现二维小波变换,调原始图像矩阵后进行二维小波分解,重构源图像及结果显示(Wavelet transform in 2-D dimentation)
说明: 在一幅图像中对单人脸进行定位,原理是基于多模板匹配(locate face in one picture in which there is a single face,its theory base on many templates matching)
图像去噪的评价指标ENL, SSIM, PSNR,SNR,EPI(The evaluation indexes of image denoising are ENL, SSIM, PSNR,SNR and EPI)