how to separate region of interest from the rest portion
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I have taken a photograph and got the ROI based on the color of the skin.Now i want to seperate the ROI from the rest of the portion.
2 Comments
Image Analyst
on 22 Mar 2014
What does that mean? You already have an ROI so I assume that is a binary image of which pixels are skin and which are not. What else more do you need? What are the two things you will have after you do this undefined "separation"?
Answers (1)
Image Analyst
on 23 Mar 2014
Try the attached test script, below in blue.
9 Comments
ensg
on 9 Oct 2014
% 1_0 -> efecto de "loncheado" vertical, parece que faltasen cortes % 1_1 -> scan vertical en 2 tramos inconexos, "loncheado" % 1_2 -> no es 3D, son 2 cortes sueltos % 1_3 -> orientación "tumbado" % 2_0 -> OK, 47 cortes eje axial % 2_1 -> OK, 29 cortes eje axial % 2_2 -> OK, 201 cortes eje axial % 2_3 -> OK, 47 cortes eje axial % 2_4 -> OK, 201 cortes eje axial % 2_5 -> no es 3D, un solo corte % 2_6 -> orientación "tumbado", con proyección incluida
load 'TAC-Nasal-MATLAB\TAC_Nasal_2_2' v = volume(1:2:end,1:2:end,1:1:end); close all, figure(1) p = patch(isosurface(v, 700)); %isonormals(v, p) set(p, 'FaceColor', 'red', 'EdgeColor', 'none'); daspect([1 1 size(v,3)/size(v,1)*1.5]) view(3) camlight; lighting phong
figure(2), v2=zeros(size(v,1),size(v,2),1,size(v,3)); v2(:,:,1,:)=v; v2=(v2-min(v2(:)))/(max(v2(:))-min(v2(:))); montage(v2), set(gcf,'Name',[num2str(size(v,3)) ' cortes verticales'])
ensg
on 9 Oct 2014
this is the code to get the head now i am going to do axial cut and the histogram..... thanks
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