Matlab Task on Computer Programming & Numerical Methods

Matlab Task on Computer Programming & Numerical Methods

A=imread(‘one.png’)
signImage=rgb2gray(A);
figure(1)
imshow(signImage)
%Detect features of first image that is read above%
signPoints=detectSURFFeatures(signImage)
figure(3)
imshow(signImage)
title(‘100 strongest features from sign image’)
hold on
%Top 100 strongest features
plot(selectStrongest(signPoints,100))

[signFeatures2, signPoints2] = extractFeatures(signImage, signPoints)

B=imread(‘two.png’)
signImage2=rgb2gray(B);
figure(4)
imshow(signImage2)
%Detect features of first image that is read above%
signPoints2=detectSURFFeatures(signImage2)
figure(5)
imshow(signImage2)
title(‘100 strongest features from sign image’)
hold on
%Top 100 strongest features
plot(selectStrongest(signPoints2,300))
[signFeatures2, signPoints2] = extractFeatures(signImage2, signPoints2)

%Punitive point matches in both the images%

picPairs=matchFeatures(signFeatures, signFeatures2);
matchedSignPoints = signPoints(picPairs(:,1),:);
matchedFindPoints = signPoints2(picPairs(:,2),:);
figure(6)
showMatchedFeatures(signImage,signImage2,matchedSignPoints, matchedFindPoints, ‘montage’)
title(‘Matched points both images’)

%Locate objects using Punitive matches%
%[tform, inlierBoxPoints, inlierScenePoints] =estimateGeometricTransform(matchedSignPoints, matchedFindPoints);
%figure;
%showMatchedFeatures(signImage, signImage2, inlierBoxPoints,inlierScenePoints, ‘montage’);
%title(‘Matched Points (Inliers Only)’);

Report Writing Task on Cardiac Angiosarcoma

Report Writing Task on Cardiac Angiosarcoma

Discussion Question 1

1. Background (demographic distributions – prevalence or incidence, sex/race/age predilections, etc. – associated with the disease and the aetiology of this disease process.
Though considered rare in the context of cardiac neoplasm, cardiac angiosarcoma is the most commonly observed histological subtype that is characterized by its pervading and destructive nature (Patel et al., 2014). It has been observed that as per the autopsy incidence rate Continue reading