Digital Image Processing Overview Quiz

Introduction to Digital Image Processing

• Computer imaging is defined as the acquisition and processing of visual information by computer.
• The ultimate receiver of information can be either a computer or the human visual system.

Computer Vision and Image Processing

• Computer vision involves processing output images for use by a computer.
• Image processing involves processing output images for human consumption.
• Computer vision includes image analysis, which involves:
  • Feature extraction: acquiring higher-level image information.
  • Pattern classification: identifying objects within the image using higher-level information.

Digital Image

• A digital image can be defined as a 2D function, f(x, y), where x and y are spatial coordinates.
• The amplitude of f at any pair of coordinates (x, y) is called the intensity or gray level of the image at that point.
• A digital image is composed of a finite number of elements, called pixels, each with a particular location and value.
• Common image formats include:
  • 1 sample per point (B&W or Grayscale).
  • 3 samples per point (Red, Green, and Blue) RGB Coloring System.

Digital Image Processing

• Digital image processing refers to the manipulation and analysis of digital images using various algorithms and techniques to improve quality, extract information, and derive meaningful insights.
• It involves the application of mathematical and computational methods to process images from different sources.
• The primary goal of digital image processing is to enhance, analyze, interpret, and visualize digital images for various applications.
• Digital image processing focuses on two major tasks:
  • Improving pictorial information for human interpretation.
  • Processing image data for storage, transmission, and representation for autonomous machine perception.

Key Stages/Components of Digital Image Processing

• The continuum from image processing to computer vision can be broken up into low-level, mid-level, and high-level processes.
• The key stages/components of an image processing system are:
  • Image acquisition.
  • Image processing.
  • Image analysis.
  • Image understanding.

History of Digital Image Processing

• Not explicitly mentioned in the provided text, but will be covered in Chapter 1 of the course.

State of the Art Examples of Digital Image Processing

• Not explicitly mentioned in the provided text, but will be covered in Chapter 1 of the course.

Course Outlines

• Chapter 1: Introduction to digital image processing, including examples of fields that use digital image processing, fundamental steps, and history of digital image processing.
• Chapter 2: Digital image fundamentals, including human visual system, image formation, image acquisition, and image representation.
• Chapters 3-10: Cover various aspects of digital image processing, including intensity transformations, spatial filtering, image restoration, image compression, image segmentation, morphological image processing, feature extraction, and image pattern classification.