function[ BW1 mask ] = getSmoothImage( BW,threshold ) %GETSMOOTHIMAGE Summary of this function goes here % Detailed explanation goes here % 该函数首先得到图形的蒙版,然后对蒙版进行腐蚀和扩张,最后利用蒙版收缩和扩张 HEIGHT = size(BW,1); WIDTH
sigma = 2; smoothImage = imgaussfilt(noisyImage,sigma); smoothGradient = imgradient(smoothImage,'CentralDifference'); imshow(smoothGradient,[]) title('Smoothed Gradient Magnitude') 注:本文根据MATLAB官网内容修改而成。 可以看看以下的免费视频教程,特点是没有PPT,不掺水,直接编程环境下的实操课程: 用10...
This example shows you how to smooth an image using the Gaussian kernel. Example Model Open the Simulink® model. modelname ="ex_blk2DCorrelation.slx"; open_system(modelname) This model reads a PNG image using theImage From Fileblock, which outputs it as a matrix of data typedouble. Th...
add the newly generated ones and smooth the output:Interpolated(:,:,1)=medfilt2(imadd(I(:,:...
This MATLAB code segment reads an RGB or Grayscal image and divides it into smooth (homogeneous) and rough (Texture) parts 팔로우 0.0 (0) 다운로드 수: 67 업데이트 날짜:2019/6/23 라이선스 보기
the larger % sigma0, the more quickly-smooth images sigma0=sqrt(2); octave=3;%6*sigma*k^(octave*level)<=min(m,n)/(2^(octave-2)) level=3; D=cell(1,octave); for i=1:octave D(i)=mat2cell(zeros(row*2^(2-i)+2,colum*2^(2-i)+2,level),row*2^(2-i)+2,colum*2^(2...
image_smooth(x-2,y-2) = Linear_smooth'*A(:); %将获取的矩阵值各个值求和然后放在新矩阵image_smooth的(x-2,y-2)位置end end image_smooth= image_smooth/25; %求平均值 subplot(2,4,5); %把区域分成1行4列,并把图像显示到第一个
setHCompSmooth(fptr,smooth)sets the smoothing to be used when compressing an image with the HCOMPRESS algorithm. Setting either the scale or smoothing parameter causes the algorithm to operate in lossy mode. This function corresponds to thefits_set_hcomp_smoothfunction in the CFITSIO library C AP...
原本想把MATLAB里关于概率论的相关进行记录,不过概率论学得不好,感觉在该部分的表达上还存在很大不足,就放弃了相关的篇章,直接开始了本篇,本篇主要是记录小波分析的一些东西,小波分析的原理就不细说了,所以还是老样子,主要介绍小波分析在MATLAB中的相关知识,不足之处请指出。
title(‘SmoothImage And OriginalImage’) subplot(2,1,2); plot(x,y,x,y1,x,y2); title(‘NoiseImage And OriginalImage’) figure(6); x=1:iter; plot(x,PSNRAll);title(‘PSNR’) figure(7); x=1:iter; plot(x,ImMAE);title(‘MAE’) ...