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Step 5 Type the desired alphabets in the respective cells to create your art.

Image Recognition/Processing
Computer Vision involves understanding and analysing visual information from the world, and it typically follows five
stages, as shown in the given figure:

Computer Vision Process

Image Preprocessing Feature Detection/ High-Level
Acquisition Extraction Segmentation Processing

The description of these stages are as follows:
1. Image acquisition: Image acquisition is the first step in transforming real-world visual data into digital formats for
analysis in Computer Vision. This process uses cameras, scanners, or specialized imaging equipment to capture
images or videos.
2. Preprocessing: Preprocessing enhances the quality of acquired images, removing imperfections and reducing noise
to prepare them for analysis. Key methods include Noise Reduction, Image Normalization, Resizing Images, Cropping
Images, etc.
3. Feature extraction: Feature extraction identifies important patterns in an image, enabling tasks like object recognition.
Key techniques include edge detection, corner detection, texture analysis, colour-based feature extraction, and deep
learning-based feature extraction.
4. Detection/segmentation: Detection and segmentation identify and localize objects in images, crucial for applications
like autonomous driving and medical imaging.
5. High-level processing: High-level processing interprets the visual content, enabling intelligent decision-making.
Techniques include object recognition, scene understanding, and context analysis.

Introduction and State of Art of AI, Natural Language Processing (NLP), and Potential use of AI 97