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How To Plot Transfer Functions In Matlab?

  How can I plot this state space like the graph I attached by using tf() and step() command? Thank you!   I2/E0=1/(s^3+s^2+3*s+1)         NOTE:- Matlabsolutions.com  provide latest  MatLab Homework Help, MatLab Assignment Help  ,  Finance Assignment Help  for students, engineers and researchers in Multiple Branches like ECE, EEE, CSE, Mechanical, Civil with 100% output.Matlab Code for B.E, B.Tech,M.E,M.Tech, Ph.D. Scholars with 100% privacy guaranteed. Get MATLAB projects with source code for your learning and research. Try these codes below please;   clc; clear; close all; numerator = 1; denominator = [1,1,3,1]; sys = tf(numerator,denominator); yyaxis left SEE COMPLETE ANSWER CLICK THE LINK https://www.matlabsolutions.com/resources/how-to-plot-transfer-functions-in-matlab-.php

Tortuosity of blood vessels

 Hello,

 
I am trying to calculate the Tortuosity of blood vessels. (Vessel tortuosity is calculated as the sum of branch lengths divided by the sum of the euclidean distance between their end points).
 
I have the following questions:
  1. How to calculate the lengths of both actual branches and the imaginary straight lines between nodes
  2. How do I mark the vessel branches (orange) and the branch nodes (yellow) as shown in the picture.
  3. I am calculating "spinelength" as the sum of all pixels. How do I calculate individual branch lengths?
  4. Any suggestions in preprocessing would be appreciated.

 

clc;
clear;
close all

% Read the image
I=imread('VAD.png');
figure,imshow(I)

%convert it to gray scale
I_gray=rgb2gray(I);
%Sharpen the image
b = imsharpen(I_gray,'Amount',8);

h = fspecial('average', [3 3]);
b = imfilter(b, h);

%choose brighter objects
Bina=b>150
figure,imshow(Bina);

se = strel('cube',3)
erodedBW = imerode(Bina,se);

%Remove small objects from binary image
BW2 = bwareaopen(Bina,100)
figure,imshow(BW2);

skelImage = bwskel(BW2, 'MinBranchLength', 10);

MinBranchLength = round(sum(skelImage(:))/2)
skelImage = bwskel(BW2,'MinBranchLength',MinBranchLength);
figure,imshow(skelImage)

endpointImage = bwmorph(skelImage, 'endpoints');
[rows, columns] = find(endpointImage)

spineLength = sum(skelImage(:))
straightLineDistance = sqrt((columns(2) - columns(1))^2 + (rows(2) - rows(1))^2)
tortuosity = spineLength / straightLineDistance

 

 

 NOTE:-


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Call bwmorph() to get the branchpoints then use that to erase the branch points. Then label each curve and call bwmorph() to get the endpoints to get the straight line distance. Pretty easy, in fact you've probably already done it by now. You might have gotten something like (untested):

 

bp = bwmorph(mask, 'branchpoints');
mask(bp) = false; % Erase branchpoints.
[labeledImage, numRegions] = bwlabel(mask);
for k = 1 : numRegions
    thisRegion = ismember(labeledImage, k);
    endpoints = bwmorph(thisRegion, 'endpoints');
    % Get coordinate
    [r, c] = find(endpoints);

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