Matlab Task on Computer Programming & Numerical Methods

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)

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)’);

Python Task on Objects and Algorithms

files=[“in_abc10.txt”,”in_abc100.txt”]
outFiles=[“out_abc10a.txt”,”out_abc100a.txt”]

import java.util.ArrayList;
import java.util.Scanner;

public class BubbleSotr
{
public static void main(String[] args) Continue reading

R Studio Task on MBA Case Study

dim(CSDATA)
#Fitting the linear regression on all the independent variables Continue reading

C++ Task on Searching and Sorting Project

#include <iostream>
#include<fstream>
#include<vector>
#include<string>
#include<stdio.h>
#include <string>

Report Writing Task on Health Disparities In Australia

Introduction

Being social beings community members of any community of any country need to be quite well aware of the problems or struggles they are facing that are putting hindrances to their overall development. Like many other developed nations that are embedded Continue reading

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