Basic_Function_CV2

• Computer Vision is a field dedicated to analyzing images and videos using computational techniques. These methods are employed across various applications, ranging from medical imaging to facial recognition.

Significance:

• Computer vision assists in understanding and interpreting the content present in images and videos, allowing a computer to "see" and "comprehend" its surroundings

Basic Image Properties:

• Distinct image properties are used for their analysis and understanding. These properties include color, shape, and texture.

Computer Vision Techniques:

• 1. Image Masking and Color Tracking: Techniques for color tracking and obscuring portions of an image.
  2. Image Resizing and Geometric Transformation: To alter the size and shape of images.
  3. Image Thresholding: Convert images to purely black and white colors.
  4. Morphological Transformation: Change the image shape using mathematical operations.
  5. Image Filtering: Use filters to refine images and eliminate noise.
  6. Edge Detection: Employ specific techniques to detect edges within images.
  7. Feature Detection in Images: Using various algorithms.
  8. Sift Approach and Feature Matching: Techniques for matching features across different images.