Key Concepts
Syllabus:
- What Is An Edge Detection
- Why Edge Detection Is Important?
- Difference Between Black & White And Color Images.
- What Is Spatial Information And How It Is Preserved In The Feature Map?
(1) What Is An Edge Detection?
- Edge detection is a technique used in image processing and computer vision to identify the boundaries or edges within an image.
- Edges are regions in an image where there is a significant change in intensity or color, typically indicating the boundaries of objects or features in the image.
(2) Why Is Edge Detection Important?
Edges represent important structural information about objects in an image. Detecting them is critical for tasks like:
- Object Recognition: Identifying and classifying objects.
- Image Segmentation: Dividing an image into meaningful regions.
- Feature Extraction: Extracting key details for image analysis.
- Computer Vision Applications: Used in robotics, medical imaging, and more.
(3) Difference Between Black & White And Color Images.
- The primary difference between black-and-white (grayscale) images and color images lies in how they represent visual information using pixel values. Below is a detailed comparison:
Representation of Pixel Values
Storage Requirements:
Visual Information:
Applications:
Image Processing Complexity:
Conversion Between the Two:
Examples:
(4) What Is Spatial Information And How It Is Preserved In The Feature Map?
