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3.10 Sensing & Digitizing Image Data: Prepared by John Cris Hitalia Bit-Elx 3B

A camera is used to capture images which are then converted to digital form through a process of digitization. Each frame is divided into a pixel matrix and each pixel is assigned a value representing light intensity. This converts the image data into a digital format that can be stored in computer memory. The digitized images then undergo processing and analysis where features are extracted through thresholding and data reduction. Training the vision system involves collecting measurement data from sample images which helps the system identify matches between new objects and stored models.

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194 views12 pages

3.10 Sensing & Digitizing Image Data: Prepared by John Cris Hitalia Bit-Elx 3B

A camera is used to capture images which are then converted to digital form through a process of digitization. Each frame is divided into a pixel matrix and each pixel is assigned a value representing light intensity. This converts the image data into a digital format that can be stored in computer memory. The digitized images then undergo processing and analysis where features are extracted through thresholding and data reduction. Training the vision system involves collecting measurement data from sample images which helps the system identify matches between new objects and stored models.

Uploaded by

Basco Martin Jr
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Download as PPTX, PDF, TXT or read online on Scribd
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3.

10 SENSING & DIGITIZING


IMAGE DATA

PREPARED BY
JOHN CRIS HITALIA
BIT-ELX 3B
Sensing & Digitizing
Image Data
3.10 SENSING & DIGITIZING IMAGE DATA

A camera is used in the sensing and digitizing tasks for viewing


the images. It will make use of special lighting methods for
gaining better picture contrast. These images are changed into
the digital form, and it is known as the frame of the vision data.
A frame grabber is incorporated for taking digitized image
continuously at 30 frames per second.
Instead of scene projections, every frame is divided as a
matrix. By performing sampling operation on the image, the
number of pixels can be identified. The pixels are generally
described by the elements of the matrix. A pixel is decreased
to a value for measuring the intensity of light. As a result of
this process, the intensity of every pixel is changed into the
digital value and stored in the computer’s memory.
Image Processing &
Analysis
In this function, the image interpretation and data
reduction processes are done. The threshold of an
image frame is developed as a binary image for
reducing the data. The data reduction will help in
converting the frame from raw image data to the
feature value data.
The feature value data can be calculated via computer
programming. This is performed by matching the image
descriptors like size and appearance with the
previously stored data on the computer. The image
processing and analysis function will be made more
effective by training the machine vision system
regularly.
There are several data collected in the training
process like length of perimeter, outer & inner
diameter, area, and so on. Here, the camera will be
very helpful to identify the match between the
computer models and new objects of feature value
data.
Applications:  
Some of the important applications of the machine vision system in the
robots are:
• Inspection  
• Orientation  
• Part Identification  
• Location
THANK YOU FOR WATCHING.

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