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Execute the code In a C++ program and send a picture of the execution from within the program > 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 {

Execute the code In a C++ program and send a picture of the execution from within the program > 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 {

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:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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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 {
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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