(Solved): Question 3: Circle Detection with Hough Transform Tasks: - Image Capture: Take a photograph that inc ...

Question 3: Circle Detection with Hough Transform Tasks: - Image Capture: Take a photograph that includes several circular or near-circular objects (e.g., coins, bottle caps, buttons). - Circle Detection: - Load the image, convert it to grayscale, and apply a gentle blur (e.g., Gaussian) to reduce noise. - Use the cv2. HoughCircles() function to detect circles in the image. - You must experiment with and tune the function's parameters (such as paraml, param2, minDist, etc.) to correctly identify most of the circles in your image. - Draw the detected circles on the original image and display the result. Please show the final answer with any photo or screen shot of the solution ASAP PLEASE For each of the Tasks (Questions 1-4), you are required to submit the following: - Original Images: The raw photographs you captured for the task. - Result Images: Screenshots of the final output generated by your code (e.g., filtered images, segmented objects, panoramas, etc.). - Python Code: The complete and runnable code used to perform all tasks. For the Analysis (Question 5), you will provide written answers based on the results you generated.