Step 1: Define preprocessing in computer vision.
Preprocessing involves preparing raw images for further analysis by improving their quality and removing noise.
Step 2: Role of preprocessing.
It includes tasks like resizing, normalization, filtering, and noise reduction to make images suitable for processing.
Step 3: Importance of preprocessing.
It enhances image clarity and helps algorithms perform more accurately and efficiently.
Step 4: Define high-level processing.
High-level processing involves interpreting the image, such as object detection, recognition, and decision-making.
Step 5: Difference between both.
Preprocessing focuses on improving image quality, while high-level processing focuses on extracting meaning and insights from the image.