Image Processing in Optical Coherence Tomography by Robert Koprowski

By Robert Koprowski

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2 0 -2 0 2 4 6 x [piksel] 8 10 12 14 Fig. 3-21 Contours of the filtration angle measured for three examples of patients, together with noise 2 4 6 8 10 y [piksel] 12 14 16 18 Fig. 3-22 Values of distance D measurements for the AOD method vs. y for different shapes of the filtration angle (Fig. 3-21). 65 0 2 4 6 8 10 y [piksel] 12 14 16 18 Fig. 3-23 Values of area s measurements for the TIA method vs. y for different shapes of the filtration angle (Fig. 3-17). 2 4 6 8 10 y [piksel] 12 14 16 18 Fig.

For values xa1_aa,ya1_aa,za1_aa etc. 5:2]; xyzi = [xa1_aa(end-i+1), xa2_aa(endi+1),xa1_bb(i), xa2_bb(i) xa1_a(end-i+1); ya1_aa(end-i+1), ya2_aa(endi+1),ya1_bb(i), ya2_bb(i) ya1_aa(end-i+1); za1_aa(end-i+1), za2_aa(endi+1),za1_bb(i), za2_bb(i) za1_aa(end-i+1)]; pp = spline(xi,xyzi); xyz_ = ppval(pp, linspace(0,2*pi,101)); plot3(xyz_(1,:),xyz_(2,:),xyz_(3,:),'-*b') xc=[xc,xyz_(1,:)']; yc=[yc,xyz_(2,:)']; zc=[zc,xyz_(3,:)']; end The result obtained is presented in Fig. 3-56.

As a result, new coordinates on the oy axis are obtained. The presented implementation of modified active contour function has many limitations and assumptions made, related for instance to making an assumption that the contour searched for is situated horizontally. However, the function presented has very interesting properties depending on the parameters adopted. These properties will be the subject of further considerations in one of the next sections. Using the function as follows: pud=10; pyud=10; pxud=2; pxlp=10; polaryzacja=1; [yy,i]=OCT_activ_cont(mat2gray(Ls),linie_m_x,linie_m_y,pud, pyud,pxud, pxlp, polaryzacja); plot(linie_m_x,yy,'-w*') linie_12(:,2)=medfilt2(linie_12(:,2),[15 1]); linie_12(:,3)=medfilt2(linie_12(:,3),[15 1]); linie_mm_x=[flipud(xy_g_l(:,1)); linie_12( (linie_12(:,1)>xy_g_l(1,1)) & (linie_12(:,1)xy_g_l(1,1)) & (linie_12(:,1)

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