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. Question 1: Image Filtering and its Effect on Edge Detection Tasks: - Image Capture: Take a photograph of an object or a scene that contains clear edges and some texture (e.g., a book cover, a keyboard, the veins of a leaf). - Apply Filters: - Apply the following three filters to the image: Gaussian Blur, Median Blur, and Bilateral Filter. You will need to experiment to find suitable parameters (e.g., kernel size, sigma values) for each. - Display the original image and the three filtered images side-by-side for comparison. - Edge Detection: - Apply the Canny edge detector to the original image and to each of the three filtered images. - Display the four resulting edge maps side-by-side. Please show the final answer with any photo ASAP PLEASE
