Description: 此设计要求能够实现将医学图像进行识别的过程,包括了图像预处理、图像特征提取及分类判决三大模块。在预处理这一步中主要实现的是将彩色图像转换为灰度图像,灰度图像的二值化,直方图修正,去除干扰、噪声以及差异,边缘增强等;第二模块是图像的特征提取。由于对象的物理与几何特性差异,在影像中表现为局部区域的灰度产生明显变化,形成影像特征,而图像特征提取就是对其进行加工、整理、分析、归纳以便提取构成目标影像的特征,得到能反映图像内容区别于其他事物的本质特征;分类判决作为第三模块,则是要在第二步的基础上采用某种分类判别函数与判别规则,通过对目标特征的分析和匹配来识别目标。-this design requirements to achieve medical image identification process, including the image preprocessing, Image feature extraction and classification ruling three modules. This pretreatment step in the main achievement of the color image is converted to grayscale images, the two gray-scale image value, histogram amendment to remove interference and noise variance Edge Enhancement; the second module is the image feature extraction. Because of the physical objects with geometric characteristics difference in the images showed local area Gray significant changes, the video features, feature extraction and image is its processing, compilation, analysis, summarized in order to extract constitute the target image features can be reflected image as distinct from the other characteristics of th Platform: |
Size: 6144 |
Author:uhih |
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Description: 如何在图像中加入某一固定snr的噪声?分类:matlab与图像处理
在利用matlab做一些自己算法的抗噪分析中,常常会遇到这个问题,matlab中的加噪函数是imnoise,里面的参数是噪声的均值,方差(高斯噪声)或者是感染概率(椒盐噪声),参数不能是snr值,但是很多国外的文章的噪声分析中都是用snr值来衡量加入噪声的程度的-how the image to a fixed snr noise? Categories : Matlab and image processing using Matlab to do some of his own anti-noise algorithm analysis, will often encounter this problem, which Matlab the noise function is imnoise. inside the parameters of the noise mean and variance (Gaussian noise) or the probability of infection (Impulse Noise) Parameter values can not be snr, But many foreign article noise analysis is used to measure the value snr joined the extent of noise Platform: |
Size: 2048 |
Author:顶替 |
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Description: Otsu-最大类间方差Matlab代码 最大类间方差法原理:最大类间方差法是由日本学者大津于1979年提出的,是一种自适应的阈值确定的方法,又叫大津法,简称OTSU。它是按图像的灰度特性,将图像分成背景和目标2 部分。背景和目标之间的类间方差
% 大,说明构成图像的2 部分的差别越大,当部分目标错分为背景或部分背景错分为目标都会导致2 部
% 分差别变小。-Otsu- Otsu Matlab code Otsu Principle : Otsu law by Japanese scholars in the large-1979's, is an adaptive threshold established methodology, also known as big-law, referred to Otsu. It is based on image characteristics of the gray image can be divided into the background and objectives of Part 2. Background and objectives between the between-class variance%, which meant that the two images form part of the greater difference, When some background into the wrong target or part of the background into the wrong target will lead to sub-2% difference becomes smaller. Platform: |
Size: 1024 |
Author:刘博 |
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Description: 自动地otsu 二值图像分割方法,该方法也叫 基于最大类间方差地 图像二值分割方法,希望大家喜欢-otsu two automatic image segmentation methods, The method is also called for the maximum variance to image two segmentation methods, hope you like Platform: |
Size: 1024 |
Author:Cong Yang |
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Description: 自己编写的图像质量评价函数,包括方差、平均梯度、模糊熵、信息熵-I have written the image quality evaluation function, including the variance, with an average gradient, fuzzy entropy, information entropy Platform: |
Size: 3072 |
Author:llb |
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Description: 基于opencv的otsu阈值分割,根据最大类间方差原理,进行全局图像分类-Opencv based on the Otsu threshold segmentation, in accordance with the principle of maximum between-cluster variance for the overall image classification Platform: |
Size: 1024 |
Author:chenyuanlu |
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Description: 计算图像的均值和方差函数,matlab编写的,可以添加到自己的图像处理中-Calculated the mean and variance of the image function, matlab prepared, can be added to their own image processing Platform: |
Size: 1024 |
Author:何钰 |
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Description: 计算图像的均方差 绝对误差 以及自熵或自信息量的函数 -Calculating the image mean absolute error variance, as well as the amount of information from the entropy of a function or self Platform: |
Size: 1024 |
Author:王红卫 |
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Description: 图像峰度偏度函数,函数的变量里需要指明平均值和方差-Image kurtosis skewness function, the function of the variable need to specify the mean and variance Platform: |
Size: 1024 |
Author:haha |
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Description: 读取二维图像 彩图变灰白图像 对图像进行均值 方差 fft变换等计算-Read two-dimensional image change color pictures to gray images of the image transformation such as calculation of mean-variance fft Platform: |
Size: 1024 |
Author:西蒙古 |
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Description: 图像配准,首先实现了简单的图像预处理,然后根据两种不同的配准准则,互信息和边交互方差作图像配准-Image registration, first of all to achieve a simple image pre-processing, and then two different registration criteria, mutual information and edge interaction variance for image registration Platform: |
Size: 2457600 |
Author:黄涛 |
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Description: 用total variance(TV)算法对图像进行去噪,具体参数代码里有-With the total variance (TV) image denoising algorithm, the specific parameters in the code there Platform: |
Size: 3072 |
Author:chenyuan |
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Description: 带通滤波器(Butterworth、椭圆、窗函数),采样率fs=2000Hz, 通带范围为300 -600Hz,阶数自选, 画出频率响应并分析比较,
对cameraman.tif图像分别添加椒盐噪声(密度为0.03)和高斯白噪声(均值为0,方差为0.02)的图像,利用三种方法进行去噪,显示原始图像、加噪图像和去噪图像并对实验结果进行分析(Band pass filter (Butterworth, ellipse, window function), sampling rate FS = 2000Hz, passband range of 300 -600Hz, order optional, draw frequency response, and analysis and comparison,
Respectively, add salt and pepper noise of the cameraman.tif image (density of 0.03) and Gauss white noise (mean 0 and variance 0.02) image denoising using three methods, shows the original image, noise image and image denoising and analysis of experimental results) Platform: |
Size: 1024 |
Author:潇潇暮雨
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Description: J = imnoise(I,'localvar',IMAGE_INTENSITY,VAR) adds zero-mean, Gaussian
noise to an image, I, where the local variance of the noise is a
function of the image intensity values in I. IMAGE_INTENSITY and VAR
are vectors of the same size, and PLOT(IMAGE_INTENSITY,VAR) plots the
functional relationship between noise variance and image intensity.
IMAGE_INTENSITY must contain normalized intensity values ranging from 0
to 1. Platform: |
Size: 2048 |
Author:Hoang Cuong
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Description: adds zero-mean, Gaussian noise to an image, I, where the local variance of the noise is a
function of the image intensity values in I. IMAGE_INTENSITY and VAR
are vectors of the same size, and PLOT(IMAGE_INTENSITY,VAR) plots the
functional relationship between noise variance and image intensity.
IMAGE_INTENSITY must contain normalized intensity values ranging from 0
to 1. Platform: |
Size: 1024 |
Author:Hoang Cuong
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