Question:

What is the role of preprocessing images in the computer vision process? How is it different from High Level Processing?

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Preprocessing improves image quality, whereas high-level processing interprets and understands the image.
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Solution and Explanation

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.
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