Question:

Define Computer Vision and list its primary pipeline stages (Acquisition, Preprocessing, Feature Extraction).

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Computer Vision pipeline: Capture the image → Clean and enhance it → Extract meaningful features for AI models.
Updated On: Mar 2, 2026
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Solution and Explanation

Concept: Computer Vision is a branch of Artificial Intelligence that allows computers to understand and interpret images and videos, similar to human vision. It enables applications such as face recognition, object detection, and medical imaging analysis. Step 1: {\color{red}Image Acquisition}
This is the first stage where visual data is captured:
  • Using cameras, sensors, or imaging devices
  • Sources include photos, video streams, or scanned documents
The goal is to obtain raw visual input for processing.
Step 2: {\color{red}Preprocessing}
In this stage, the acquired image is prepared for analysis:
  • Noise reduction and filtering
  • Image resizing or normalization
  • Contrast enhancement or grayscale conversion
Preprocessing improves image quality and consistency.
Step 3: {\color{red}Feature Extraction}
This stage identifies meaningful patterns from images:
  • Detecting edges, textures, or shapes
  • Extracting key points or descriptors
These features are later used for tasks like classification or detection.
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