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{ Computer Vision .. { Done By : Amal Alamri.. Asma Hamid .. Outline : Introduction. Images ( Types of image and Image Analysis ). Tasks of computer vision. Computer vision and other fields . Computer vision applications. Computer vision system. Conclusion. Question ????? ? ? ?

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computer vision

{ Computer Vision ..

{ Done By:

Amal Alamri..

Asma Hamid ..

outline
Outline :
  • Introduction.
  • Images ( Types of image and Image Analysis ).
  • Tasks of computer vision.
  • Computer vision and other fields .
  • Computer vision applications.
  • Computer vision system.
  • Conclusion.
question
Question ?????

?

?

?

What comes to your mind when you hear the term computer vision ?

?

?

?

?

introduction
{ introduction :

It has a:

• History of more than 40 years

• Important applications.

  • Computer vision is a subfield of computer Science.
  • •It’s a general term for the whole field, including image processing, image analysis, image understanding.
  • •It’s the same as Machine Vision.
what is computer vision
{ What is computer vision?

Computer vision is the science and technology of machines that see. And it’s concerned with the theory for building artificial systems that obtain information from images.

image
{ Image..

- An image is a huge array of gray level (brightness) values of individual pixels.

- Taken individually, these numbers are almost meaningless, because they contain very little information about the scene.

- The conversion of this huge amount of arrays information into usable information is the subject of computer vision.

types of images
Types of Images:
  • There are on two types of images used in computer vision:
  • Intensity images:
  • Photograph like images encoding light intensities.

2.Range images:

  • Encoding shape and distance (sonar and laser).
what is image analysis
What is "Image Analysis"?

• Computing image components and their properties

Fundamental Steps

  • Preprocessing (Image enhancement and Image reconstruction)
  • - Segmentation (Isolating objects ).
  • Feature Extraction (description).

- Classification (Object recognition).

computer vision tasks
{ computer vision tasks ..
  • Each application area employ a range of computer vision tasks Some examples of typical computer vision tasks are:
  • Recognition.
  • Motion.
  • Scene reconstruction.
  • Image restoration.
related fields
{ Related fields..
  • Computer vision encompasses many fields such as robotic vision, AI, optics and biological vision.
  • It is mainly focused on machine vision that uses image processing and image capture systems to extract information from an image .
robot vision
{ Robot vision..
  • The field of robot vision guidance is developing rapidly.
  • The benefits of robot vision technology includes:
  • improving quality.
  • safety.
  • productivity.
  • Robot vision is used for part identification and vision applications generally deal with finding a part and orienting it for robotic handling or inspection before an application is performed.
  • http://www.youtube.com/watch?v=-uh5BQgCxC0
medical field
{ Medical Field..
  • This area is characterized by the extraction of information from image data for making medical diagnosis of a patient.
  • Generally, image data is in the form of
  • microscopy images and X-ray images .
  • This application area also supports medical research by providing new information, e.g., about the structure of
  • the brain, or about the quality of medical treatments.
example medical image analysis
Example: Medical image analysis.

An example of information which can be extracted from such image data is detection of tumors.

Classification of materials in images of the human head.

artificial intelligent
{ Artificial intelligent..
  • In the same way as human ,the first step to advancement in Artificial Intelligence is to sense and make sense.
  • Computer Vision is used to allow AI to identify and analyze a picture or components in a picture taken by sensory instruments. After identifying edges, objects, or patterns the AI can then act according to the stimulus given .
important application areas
{ Important application areas..
  • Industrial image processing

process control, quality control and geometrical measurements.

• Robotics

assembly, cooperation and autonomous systems.

• Monitoring

event recognition, safety systems and data collection

• Document analysis

handwritten character recognition and graphics recognition.

conclusion
{ Conclusion:
  • Computer Vision is an active research field with many research groups in countries all over the world.
  • There exists a large body of research results to build on.
slide18
Thank you for being attention

Time for questions

=)