extract_feature

好东东哦，希望大家来下载，是 我们本科毕业设计论文成果，基于dct域的数字水印技术

说明：  经典的基于非局部思想的图形图像去噪模型，也即非局部滤波，基于matlab实现(The classical image denoising model based on nonlocal idea, namely non local filtering, is realized based on MATLAB)

用c语言编写的数字图像处理程序，图像读取，图像增强，图像复原，傅里叶变换，离散余弦变换都有(With the c language digital image processing, image scanning, image enhancement, image restoration, Fourier transform, discrete cosine transform has)

rgb to HSV，很有用，调试成功，可以应用(rgb to HSV，#include "stdafx.h" #include <iostream.h> void main(float R, float G, float B, float& H, float& S, float&V) { // r,g,b values are from 0 to 1 // h = [0,360], s = [0,1], v = [0,1] // if s == 0, then h =-1 (undefined) float min, max, delta,tmp tmp = R>G?G:R min = tmp>B?B:tmp tmp = R>G?R:G max = tmp>B?tmp:B V = max // v delta = max- min if( max != 0 ) S = delta/max // s else { // r = g = b = 0 // s = 0, v is undefined S = 0 H = 0 return } if (delta == 0){ H = 0 return } else if(R == max){ if (G >= B) H = (G- B)/delta // between yellow & magenta else H = (G- B)/delta+ 6 } else if( G == max ) H = 2+ ( B- R )/delta // between cyan & yellow else if (B == ma)

marburg.c 用Burg算法求AR模型的参数。 mar1psd.c 由AR模型参数得到功率谱。 maryuwa.c 用Levinson算法求解Yule-Walker方程以得到 阶AR模型的参数 。 (marburg.c using Burg algorithm for AR model parameters. mar1psd.c by the AR model parameters obtained power spectrum. Levinson algorithm maryuwa.c with Yule-Walker equation in order to get rank AR model parameters.)

极化SAR图像处理中 相干目标的 KROGAGER分解程序(Polarization SAR image processing in coherent goal decomposition process KROGAGER)

使用ssd深度学习方法来实现生活中想要识别的目标(Using SSD in-depth learning method to achieve the goals you want to identify in your life)

说明：  很好的图像边缘检测程序，MATLAB环境，里面的程序我都试过了，无报错，并附带图片，可直接运行。(Good edge detection procedure, MATLAB environment, which I have tried the procedure, and without error, and attached picture, can be directly run.)

说明：  一个基于样例的图像修补技术的matlab演示(A sample-based image repair technology demo matlab)

运用相位相关法对图像进行匹配，并通过图形形象地显示相关系数位置。对图像的亮度变换不敏感，相关峰尖突出，有较高的配准精度。(fft、ifft、phase correlation)