Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN: 9780133594140
Author: James Kurose, Keith Ross
Publisher: PEARSON
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Question
Execute the code In a C++ program and
send a picture of the execution from
within the program
<include <opencv2/opencv.hpp#
; using namespace cv
; using namespace std
} () int main
Read the image //
Mat image =
:imread("material_image.jpg", IMREAD_COLOR)
; Mat grayImage, binary Image
Convert the image to grayscale //
cvtColor(image, gray Image,
; COLOR_BGR2GRAY)
Convert the image to binary (black //
and white)
threshold(gray Image, binaryImage, 128,
;255, THRESH_BINARY)
Find the contours //
; vector<vector<Point>> contours
findContours (binaryImage, contours,
; RETR_EXTERNAL, CHAIN_APPROX_SIMPLE)
Classify material based on size //
} if (contours.size() > 500)
cout << "The material is Plastic"
cout << "The material is Wood" <<
;<< endl
} else {
; endl
{
; return 0
{
expand button
Transcribed Image Text:Execute the code In a C++ program and send a picture of the execution from within the program <include <opencv2/opencv.hpp# ; using namespace cv ; using namespace std } () int main Read the image // Mat image = :imread("material_image.jpg", IMREAD_COLOR) ; Mat grayImage, binary Image Convert the image to grayscale // cvtColor(image, gray Image, ; COLOR_BGR2GRAY) Convert the image to binary (black // and white) threshold(gray Image, binaryImage, 128, ;255, THRESH_BINARY) Find the contours // ; vector<vector<Point>> contours findContours (binaryImage, contours, ; RETR_EXTERNAL, CHAIN_APPROX_SIMPLE) Classify material based on size // } if (contours.size() > 500) cout << "The material is Plastic" cout << "The material is Wood" << ;<< endl } else { ; endl { ; return 0 {
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