Writing Image Detection code

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:

pythonCopy code

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[0], image.shape[1], 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)

# Example usage
image = cv2.imread("example_image.jpg")

This function takes an image as input and performs the following steps:

  1. Convert the image to grayscale.
  2. Apply thresholding to the image to separate the foreground (blobs) from the background.
  3. Find contours in the image using OpenCV’s findContours function.
  4. Draw the contours on a blank image using OpenCV’s drawContours function.
  5. 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!