搜索资源列表
zt
- 图像高斯滤波,再边缘检测中,首先要用到高斯滤波-images Gaussian filtering, edge detection again, the first use of the Gaussian filter! !
c实现图像处理常用算法集
- 本人收集的关于c实现图像处理常用算法,包括Hough变换,雕刻技术,灰度均衡,图像的3D灰度显示,拉普拉斯高斯边缘检测等等,-I collected on c achieve common image processing algorithms, including the Hough transform, carving, gray balance, 3D gray-scale images, Laplace Gaussian edge detection and so on.
ImageProcessAndVision
- 数字图像处理的源码。包含图像边缘检测,图像高斯滤波,拉普拉斯变换,直方图均衡等。-digital image processing source. Contains images edge detection, image Gaussian filtering, Laplace transform, such as histogram equalization.
VC++examples(9Sources)
- 该文件包括9个VC++编程的例子源码,包括Hough变换,灰度均衡,灰度拉伸,图像的3D灰度显示,拉普拉斯高斯边缘检测等等。-The documents include nine VC + + programming examples of FOSS, including Hough transform, gray balance, gray stretch, 3D gray-scale images, Laplace, etc. Gaussian edge detection.
Cresorse
- 高斯平滑,灰度均衡,拉普拉斯锐化(边缘检测),亮度增减,梯度锐化,图像平移,图像旋转,维纳滤波处理-Gaussian smooth, gray balance, Laplacian sharpening (edge detection), the brightness changes, gradient sharpening, image shifting, image rotation, Wiener filter
8psk
- 高斯噪声下的8psk误码率检测与理论值比较-Gaussian noise of 8PSK BER detection compared with the theoretical value
64qam
- 高斯噪声下的64QAM调制的误码率检测与理论值比较-Gaussian noise 64QAM modulation of the error detection rate compared with the theoretical value
bpsk_AWGN
- BPSK 检测其在加性高斯白噪声信道中的性能 it is useful for you!-BPSK detected in the additive white Gaussian noise channels the performance it is useful for you!
edgedetectionearl
- 用VC++实现的各种经典边缘检测算法——roberts,sobel,prewitt,kirsch,高斯,LOG等。-with VC the classic edge detection algorithm -- roberts, segmentation, prewitt, "and Gaussian, LOG other.
lapulasibianyuanjiance
- 利用c++语言实现拉普拉斯高斯边缘检测源代码-use language Laplace Gaussian source Edge Detection
edge
- C#下几种图像边缘检测算法实现,包括模板算子、高斯算子、Canny算子、灰度形态学、小波变换、金字塔等。(Implementation of several image edge detection algorithms under C#)
MATLAB运动目标检测代码
- matlab运动目标检测代码,应用了高斯混合滤波。(something useful for matlab)
mengtekaluo
- 基于蒙特卡洛仿真仿真的高斯白噪声中确知信号的检测性能曲线(Detection performance curve of Gauss white noise based on Monte Carlo simulation)
DetectSpeed
- 一个检测车速程序,结合高斯混合模型和光留法(a simple program to detect vehicle speed based on OpenCV C++)
CFAR
- 基于高斯分布的CFAR检测算法(双参数CFAR检测),输入一个确定的虚警概率,在满足一定虚警率的情况下对图像进行分割,实现目标与背景的分离。(The CFAR detection algorithm based on Gauss distribution (two-parameter CFAR detection) inputs a certain false alarm probability, and segmentes the image to achieve the separation
打包
- 两种不同的假设: H1 : 0 xn A fn wn ( ) cos(2 ) ( ) = ++ π θ n=1,2,…,N,f0 为规一化频率 H0 : xn wn () () = n=1,2,…,N 其中 w[n]是均值为 0,方差为 2 σ n 的高斯白噪声,A 已知,样本间相互 独立,信号与噪声相互独立; 相位θ 是随机变量,它服从均匀分布 1 0 2 ( ) 20 p θ π θ π ?? ≤ ≤ = ??? 其它 1)改变输入信噪比(改变 A 或噪声方差均可),给
亚像素检测
- 一种基于拟合的亚像素检测算法,代码有注释,可用于学习,基于高斯曲面拟合算法。
基本数字水印和DCT数字水印
- 掌握基本数字水印和DCT数字水印的实现和检测方法;检验DCT数字水印,抵抗高斯噪声攻击、椒盐噪声攻击、剪切攻击和旋转攻击的能力。(Grasp the implementation and detection methods of basic digital watermarking and DCT digital watermarking, and test the ability of DCT digital watermarking to resist Gauss noise attack,
最大似然
- 两种不同的假设: H1 : 0 xn A fn wn ( ) cos(2 ) ( ) = ++ π θ n=1,2,…,N,f0 为规一化频率 H0 : xn wn () () = n=1,2,…,N 其中 w[n]是均值为 0,方差为 2 σ n 的高斯白噪声,A 已知,样本间相互 独立,信号与噪声相互独立; 相位θ 是随机变量,它服从均匀分布 1 0 2 ( ) 20 p θ π θ π ?? ≤ ≤ = ??? 其它 1)改变输入信噪比(改变 A 或噪声方差均可),给
S1IM159.【已完成】基于SVM的烟雾识别系统
- 基于SVM的烟雾识别系统 运动区域提取使用的是 自适应混合高斯背景建模 特征算法使用的是 HOG+LBP 机器学习方法使用的是 scikit的SVM(Smoke recognition system based on SVM The moving region extraction uses adaptive Gaussian mixture background modeling feature algorithm, hog + LBP machine learning method