NccStitching

watermarking testing routine

模糊C均值聚类算法，对图像进行分类，图像处理，多类划分，SAR图像分类(Fuzzy c-means algorithm clustering algorithm, the image classification, image processing, many kinds of division, the SAR image classification)

本书第一部分主要介绍机器学习基础，以及如何利用算法进行分类，并逐步介绍了多种经典的监督学习算法，如k近邻算法、朴素贝叶斯算法、Logistic回归算法、支持向量机、AdaBoost集成方法、基于树的回归算法和分类回归树（CART）算法等。第三部分则重点介绍无监督学习及其一些主要算法：k均值聚类算法、Apriori算法、FP-Growth算法。第四部分介绍了机器学习算法的一些附属工具。 全书通过精心编排的实例，切入日常工作任务，摒弃学术化语言，利用高效的可复用Python代码来阐释如何处理统计数据，进行数据分析及可视化。通过各种实例，...( U672C u4E66 u7B2C u4E00 u90E8 u5206 u5206 u4E3B u8991 u4ECB u7ECD u673A u5668 u5B66 u4E60 u57FA u7840 uFF0C u4EE5 u53CA u5982 u4F55 u5229 u7528 u7B97 u6CD5 U8FDB u883C u5206 u7C7B uFF0C u5E76 u9010 u6B65 u4ECB u7ECD u4E86 u591A U90BB u6CD2 u3001 u6734 u7D2 u8D1D u53F6 u65AF u7B97 u6CD5 u3001Logistic u56DE u5F52 u7B97 u6CD5 u3001 u652F u6301 u5411 u91CF u673A u3001AdaBoost u96C6 u6210 U65B9 u6CD5 u3001 u57FA u4E8E u6811 u7R4 u5F52 u7B97 u6CD2 u5286 u5206 u7C7B u56DE u5F52 u6811 uFF08CART uFF09 u7B97 u6CD5 u7B49 u3002 u7B2C u4E09 U90E8 u5209 u5109 u91A u0312 u4E9B u8E1B u8981 u7B97 u6CD5 uFF1Ak u5747 u503C u805A u7B7B U7B97 u6CD3 u30011 by default for uppercase and uupstr U4E9B u9644 u5C5E u5DE5 u5177 u3002 u5168 u4E66 u901A u8FC7 u7CBE U5FC3 u7396 u7392 u7B09 u5B09 u5B09 u5B09 u5B03 U7528 u9184 u5R4 u5904 u7403 u7R03 u7 U5206 u6790 u53CA u53EF u89)

说明：  SSD: Single Shot MultiBox Object Detector, in PyTorch A PyTorch implementation of Single Shot MultiBox Detector from the 2016 paper by Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang, and Alexander C. Berg. The official and original Caffe code can be found here. Table of Contents Installation Datasets Train Evaluate Performance Demos Future Work Reference

基于数字图像处理，实现一个车牌分割和识别的仿真系统。要求系统具有界面并实现以下功能： 1）读入交通标志图像； 2）预处理及车牌标志定位； 3）多种图像分割功能； 4）形态学滤波等功能； 5）对标志中的数字进行识别。(Based on digital image processing, segmentation and recognition of a license plate emulation system. Interface and require a system with the following functions: 1) read the traffic sign 2) pre-processing and positioning plate mark 3) a variety of image segmentation functions 4) morphological filtering and other functions 5) to mark the numbers Identification.)

说明：  对灰度图像和二值图像进行去噪，是一种形态学滤波器。(denoiseing for the gray image and binary image)

1维LBP算法，在一维上做LBP算法，用于提取微表情特征(1-dimension LBP，abstract microfacial expression features)

数字图像矩阵数据的显示及其傅立叶变换 P0302：二维离散余弦变换的图像压缩 P0303：采用灰度变换的方法增强图像的对比度 P0304：直方图均匀化 P0305：模拟图像受高斯白噪声和椒盐噪声的影响 P0306：采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波 P0307：采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波 P0308：图像的自适应魏纳滤波 P0309：运用5种不同的梯度增强法进行图像锐化 P0310：图像的高通滤波和掩模处理(Digital image data display matrix and its Fourier transform P0302: Two-dimensional discrete cosine transform image compression P0303: gray-scale transformation of the methods used to enhance image contrast P0304: Histogram of homogenization P0305: analog image by Gaussian white noise and Salt and Pepper Noise impact P0306: A two-dimensional median filtering function medfilt2 of interference by salt and pepper noise image filtering P0307: using MATLAB in filter2 function affected by noise interference images mean filter P0308: Image Adaptive Weiner filtering P0309: the use of five kinds of different gradient enhanced image sharpening method P0310: Image of high-pass filtering and mask treatment)

说明：  基于matlab上的菲涅耳离轴全息记录与再现程序，能对图像进行相应处理得到其全息图。同时能将其再现还原。(Based on the Fresnel off-axis holographic recording and reconstruction program on MATLAB, the hologram of the image can be obtained by corresponding processing. At the same time, it can be reproduced and restored.)

该程序主要功能是实现两幅图像特征点的匹配。首先用harris角点检测算法检测出图像角点，然后使用ssd算法筛选匹配的角点，最后将匹配的角点用线连接起来(The program is to achieve two main functions of image feature points of the match. First, with harris corner detection algorithm to detect image corners, then use the ssd corner matching algorithm selection, the final match of the corner will be connected with a line)