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# Thread Subject: translate image to zero gray value background

 Subject: translate image to zero gray value background From: marlina Date: 12 Aug, 2010 05:16:05 Message: 1 of 3 Hi all, here is my code: clc;%close all;%clear all; I = imread('.\image\picture6a.jpg'); Igray = rgb2gray(I); % convert image to grayscale Imul=immultiply(Igray,1.0); % do some contrast balancing Inoise = imnoise(Imul,'salt & pepper',0.01); Imed = medfilt2(Inoise,[3 3]); % noise distortion using median filter Iedge=edge(Imed, 'canny',[0.09 0.6],1.5); % edge detection using canny figure(1),imshow(Iedge) figure(2),imshow(Imed,[]); %boundary tracing s=size(Iedge); for row = 2:5:s(1)    for col=1:s(2)       if Iedge(row,col),          break;       end    end    contour = bwtraceboundary(Iedge, [row, col], 'S', 8, inf,...                                    'counterclockwise');    if(~isempty(contour))       hold on;       plot(contour(:,2),contour(:,1),'g','LineWidth',2);       hold on;       plot(col, row,'gx','LineWidth',2);    end end From figure (1)---it will show edge of the hand (bw image- only edge of the hand is in white color, others is black including foreground of the hand)          figure (2)---it will show detection of edge at grayscale image So, my question is how i am going to translate edge detection image from grayscale image into picture 2 (where the background is black) and use edge detection from figure 2 as a reference. summary of my question: background is black and hand region is in grayscale Thank you...i really need the answer....plzzz
 Subject: translate image to zero gray value background From: Sean Date: 12 Aug, 2010 13:00:18 Message: 2 of 3 "marlina " wrote in message ... > Hi all, > > here is my code: > > clc;%close all;%clear all; > I = imread('.\image\picture6a.jpg'); > > Igray = rgb2gray(I); % convert image to grayscale > Imul=immultiply(Igray,1.0); % do some contrast balancing > > Inoise = imnoise(Imul,'salt & pepper',0.01); > Imed = medfilt2(Inoise,[3 3]); % noise distortion using median filter > > Iedge=edge(Imed, 'canny',[0.09 0.6],1.5); % edge detection using canny > figure(1),imshow(Iedge) > > figure(2),imshow(Imed,[]); %boundary tracing > s=size(Iedge); > for row = 2:5:s(1) > for col=1:s(2) > if Iedge(row,col), > break; > end > end > > contour = bwtraceboundary(Iedge, [row, col], 'S', 8, inf,... > 'counterclockwise'); > if(~isempty(contour)) > hold on; > plot(contour(:,2),contour(:,1),'g','LineWidth',2); > hold on; > plot(col, row,'gx','LineWidth',2); > > end > end > > From figure (1)---it will show edge of the hand (bw image- only edge of the hand is in white color, others is black including foreground of the hand) > figure (2)---it will show detection of edge at grayscale image > > So, my question is how i am going to translate edge detection image from grayscale image into picture 2 (where the background is black) and use edge detection from figure 2 as a reference. > > summary of my question: background is black and hand region is in grayscale > > Thank you...i really need the answer....plzzz %%% So your gray image is uint8, that means white is intensity 255: Igray(Iedge) = 255;
 Subject: translate image to zero gray value background From: marlina Date: 13 Aug, 2010 03:28:05 Message: 3 of 3 Hi Sean, Thank you for your suggestion....but that's not my aim.  from your code : Igray(Iedge) = 255; the outline of the hand edge from figure 1(canny edge detection) will be translate into into grayscale image. my objective ito translate grayscale image of hand into figure 2 (canny edge detection)...its look like you crop the hand image form grayscale image into figure 2....so the hand image is in grayscale and background is black. I hope you can understand my objective. Thank you so much...Looking forward for any suggestion.. Marlina