What is "computer-vision"

Computer Vision is a sub-area of computer science that uses digital image processing algorithms to solve various problems.

According to one of the main references of this field of study (Linda Shapiro and George Stockman, Computer Vision. Prentice Hall, 2001, 1 issue in English, 608 pages), the objective of Computer Vision is:

make useful decisions about physical objects or real scenes based on sensory images

and sensory is understood to mean:

the way images are taken in the world and the way they encode properties of this world, such as material, shape, lighting, spatial relations, etc.

The techniques studied in Computer Vision use algorithms to process images or image sequences, involving studies related to mathematics, optics, signal processing and artificial intelligence. Thus, it is evident that this field of study has a great overlap with another field called .

Some of the techniques commonly used in Computer Vision are:

  • Image capture
  • Preprocessing
  • Feature extraction
  • Element detection/ Segmentation
  • High-level processing
  • Decision-making