Introduction to Computer Vision (CV)in Machine Learning || Part 1

Code Thulo
Oct 17, 2021

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This story tells basics about Computer Vision, objectives, and application.

Image Processing and Computer Vision

Image processing is the subset of computer vision. It is a way to perform operations on images, to enhance them or withdraw useful information from them and analyze it. As per the information from the image we can make decisions or calculations.

Image Processing
Image Processing

The objective of Image Processing

  • Image Recognition: To find particular objects in an image.
  • Visualization: Observing objects that are not visible easily.
  • Measurements of Pattern: Measure various objects.
  • Image sharpening and restoration: For creating better images.
  • Image retrieval: searching needed images.

Application of Computer Vision.

Pattern recognition
Pattern recognition
  • Handwriting analysis
  • Image recognition
  • Computer-aided medical diagnosis
  • Image sharpening and restoration.
  • Medical field.
  • Remote sensing.
  • Transmission and encoding.
  • Machine/Robot vision.
Image recognition
Image recognition
  • Color processing.
  • Pattern recognition.
  • Video processing.
  • Microscopic Imaging
  • surveillance and many more.

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