Matlab uses five conventional operators to perform edge detection on an image, which is the best

3 Answers

1. +8Votes  

   close all

   clear all

   I=imread(‘tig.jpg’); %Read Image

   I1=im2double (I); % turns the color map sequence into double precision

   I2=rgb2gray(I1); % turns the color map into a gray map

   [thr,&nbsp ;sorh, keepapp]=ddencmp(‘den’,’wv’,I2);

   I3=wdencmp(‘gbl’,I2,’sym4′,2,thr,sorh,keepapp) ; %Wave Denoising

   I4=medfilt2(I3,[9 9]); % Median Filtering

   I5=imresize(I4,0.2,’bicubic ‘); % image size

   BW1=edge(I5,’sobel’); %sobel image edge extraction

   BW2=edge(I5,’roberts’) ; %robertsImage Edge Extraction

   BW3=edge(I5,’prewitt’); %prewittImage Edge Extraction

   BW4=edge(I5,’log’) ; %log image edge extraction

   BW5=edge(I5,’canny’); %canny image edge extraction

   h=fspecial(‘gaussian’,5) ; %Gaussian filtering

   BW6=edge(I5,’zerocross’,[ ],h); %zerocross image edge extraction

   figure;

   subplot(1,3,1); % is divided into three lines, the first picture

   imshow(I2); %Drawing

   figure;

   subplot(1,3,1);

   imshow(BW1);

   title(‘Sobel operator’);

   subplot(1 ,3,2);

   imshow(BW2);

   title(‘Roberts operator’);

   subplot(1,3,3);

   imshow(BW3);

   title(‘Prewitt operator’);

    

   George Martin- July 4, 2018 |

2. +5Votes  

   lose all< /p>

   clear all

   I=imread(‘tig.jpg’); %read images

   I1=im2double(I); % Turn a colormap sequence into double-precision

   I2=rgb2gray(I1); %Turn a colormap into a gray one

   [thr, sorh, keepapp] =ddencmp(‘den’,’wv’,I2);

   I3=wdencmp(‘gbl’,I2,’sym4′,2,thr,sorh,keepapp); %Wavelet denoising

   I4=medfilt2(I3,[9 9]); % Median Filter

   I5=imresize(I4,0.2,’bicubic’); %Image Size

   BW1=edge(I5,’sobel’); %sobel image edge extraction

   BW2=edge(I5,’roberts’); %roberts image edge Extraction

   BW3=edge(I5,’prewitt’); %prewitt image edge extraction

   BW4=edge(I5,’log’); %log image edge Extract

   BW5=edge(I5,’canny’); %canny image edge extraction

   h=fspecial(‘gaussian’,5);&nbsp ;% Gaussian filtering

   BW6=edge(I5,’zerocross’,[ ],h); %zerocross image edge extraction

   figure;

   < p>subplot(1,3,1); % is divided into three lines, the first picture

   imshow(I2); %Drawing

   figure ;

   subplot(1,3,1);

   imshow(BW1);

   title(‘Sobel operator’);

   < p>subplot(1,3,2);

   imshow(BW2);

   title(‘Roberts operator’);

   subplot(1, 3,3);

   imshow(BW3);

   title(‘Prewitt operator’);

   Matthew Clarke- July 5, 2018 |

3. +7Votes  

   im =imread(‘h1.jpg’);I=rgb2gray(im); bw1=edge(I,’sobel’); bw2=edge(I,’roberts’);  bw3=edge(I,’canny’ );  bw4=edge(I,’prewitt’);     figure(2),subplot(2,2,1);imshow(bw4);title(‘prewitt operator renderings’); subplot (2,2,2);imshow(bw1);title(‘sobel operator renderings’);  subplot(2,2,3);imshow(bw2);title(‘roberts operator renderings’) ; subplot(2,2,4);imshow(bw3);title(‘canny operator renderings’);

   Wood- July 5, 2018 |