In this program, we will detect contours in an image. Contours can be explained simply as a curve joining all the continuous points having the same color or intensity. The contours are a useful tool for shape analysis and object detection and recognition.
Original Image
Algorithm
Step 1: Import OpenCV. Step 2: Import matplotlib. Step 3: Read the image. Step 4: Convert the image from bgr2rgb. Step 5: Convert the rgb image to grayscale. Step 4: Perform thresholding on the image. Step 5: Find contours on the image. Step 6: Draw contours on the image. Step 7: Display the output.
Example Code
import cv2 import matplotlib.pyplot as plt image = cv2.imread('testimage.jpg') image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB) gray = cv2.cvtColor(image, cv2.COLOR_RGB2GRAY) ret, binary = cv2.threshold(gray, 127,255, cv2.THRESH_BINARY_INV) contours, hierarchy = cv2.findContours(binary, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE) image = cv2.drawContours(image, contours, -1, (0,255,0), 2) plt.imshow(image) plt.show()