working as a 10 year programmer. image blob detection function
Sure, I can help you with that! Here’s a basic image blob detection function that you can use as a starting point:
import numpy as np import cv2 def detect_blobs(image): # Convert the image to grayscale gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) # Apply thresholding to the image ret, thresh = cv2.threshold(gray, 127, 255, 0) # Find contours in the image contours, hierarchy = cv2.findContours(thresh, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE) # Draw the contours on a blank image drawing = np.zeros((image.shape, image.shape, 3), dtype=np.uint8) for i in range(len(contours)): color = (0, 255, 0) cv2.drawContours(drawing, contours, i, color, 2, cv2.LINE_8, hierarchy, 0) # Show the image with the detected blobs cv2.imshow("Blobs", drawing) cv2.waitKey(0) cv2.destroyAllWindows() # Example usage image = cv2.imread("example_image.jpg") detect_blobs(image)
This function takes an image as input and performs the following steps:
- Convert the image to grayscale.
- Apply thresholding to the image to separate the foreground (blobs) from the background.
- Find contours in the image using OpenCV’s
- Draw the contours on a blank image using OpenCV’s
- Show the resulting image with the detected blobs.
You can modify this function to suit your specific needs, such as setting different threshold values or changing the color of the detected blobs. Good luck with your project!