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extract integrated intensity profiles from image

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company name:
Bernd H
license: Shareware
minimum requirements: MATLAB 7.1.0 (R14SP3)
functional limitations:
extract integrated intensity profiles from image description
function [CX,CY,C_sum,C,xi,yi]=improfile_integrated(I,d,xi,yi); 'improfile_integrated' computes intensity values along a line or multiline in a greyscale images. Parameter d gives the opportunity to integrate along thicker lines with width d.Please note the 'known problems' section!input: I : image (only grayscale) d : thickness of line for integration xi, yi : x-/y- coordinates of line profileoutput: CX, CY : (center) coordinates of intensity values C : intensity along path, single line scan (from improfile) C_sum : integrated intensity profile of line with thickness d example: I=zeros(100,100); I(50:100,1:100)=.5; figure, imshow(I,[]); % image with step in the middle, the oise free image Irand=rand(100,100)*.5; I=I+Irand; figure, imshow(I,[]); % image is noisy but step is clearly visible thickness=10; [CX,CY,C_sum,C,xi,yi]=improfile_integrated(I,thickness); % do a ten pixel averaging plot(1:length(C),C,'.',1:length(C_sum),C_sum/(thickness+1),'-'); grid on, axis tight xlabel('lateral distance [px]'); ylabel('intensity [a.u.]'); title('comparision of single linescan and integrated line scan'); known problems: sometimes the routine fails because of the numerical method of finding the rotated data points. An error is printed. The try it again with a slightly different line scan. conclusion: is still not reliable, but up to my knowledge the first routine wich extracts integrated intensity profiles under Matlab. This is a standard tool in image analysis.Feel free to improve it!Hei 06/06
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