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ENT363/4 Machine Vision Systems (Core Course)

Learn about the technology and methods of machine vision and its applications in various industries. Understand the fundamental steps and components of machine vision systems, including image processing and classification. Discover the benefits of machine vision systems in improving quality control, monitoring processes, and enhancing efficiency.

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ENT363/4 Machine Vision Systems (Core Course)

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  1. ENT363/4Machine Vision Systems(Core Course) Lecture 2 Introduction to Machine Vision From wikipedia: Machine vision (MV) is the technology and methods used to provide imaging-based automatic inspection and analysis for such applications as automatic inspection, process control, and robot guidance in industry. “The scope of MV is broad”.

  2. WHY? • Interest in image processing stems from two principle application areas: • improvement / enhancement of pictorial information for human interpretation • do you have example in mind? • Processing of image data for storage, transmission, and representation for autonomous machine perception. • which is why we learn this course!

  3. Some Definition • Image Images are two-dimensional projections of the three-dimensional world • Vision Vision is the most Complex of human senses, about a fourth of the brain’s volume is devoted to it. • Image Processing Processing images to give new images • Computer Vision Deals with what the images mean – aims to interpret images • Machine Vision Apply vision and image processing • Vision System A Vision System recovers useful information about a scene from its two dimensional projections

  4. Fundamental steps & Components of Machine Vision Systems • Describe images, objects and physical world – dedicated camera and frame grabber are used. • Mathematical models of image and objects and knowledge representation. • Image sampling, quantization Image acquisition • Improves image for human and computer consumption, highlight / extract relevant feature • Remove noises, deblurred etc • Color Conversion • Segmentation and representations • Extract features such a edge, regions, surfaces etc. • Measurement Analysis - measure features on the object Image processing • Determine which is what in an image • Locate objects in the image, classify them and build 3D models. • Input signal for the next actions. Classification

  5. & Classification A more detailed components in Machine Vision System Source: http://www.roboticsbible.com/machine-vision-system.html

  6. Applications of Machine Vision Systems • Autonomous Vehicles • The Human Face • Industrial Inspection • Medical Images • Remote Sensing • Surveillance • Transport • And so other many applications!!

  7. Head Modeling Face Recognition The Human Face

  8. Detecting Objects Machine parts Industrial Inspection

  9. Chromosomes Brain MRI Medical Images

  10. Land Management Crop Classification Remote Sensing

  11. Intruder Monitoring People Tracking Surveillance

  12. Number Plate Traffic Control Transport

  13. Others

  14. Advantages of Machine Vision Systems • Cutting out defective goods • Making better use of raw materials • Cutting the cost of quality control • Enabling real-time process monitoring • Improving employment conditions

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