Transcript Digital image processing & machine vision

Digital Image Processing & Machine
Vision – An Introduction
Prepared by: Mr. T.R.Shah,
Lect., ME/MC Dept.,
U. V. Patel College of Engineering.
Ganpat Vidyanagar.
Today's topics
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Introduction to an image.
Why digital image??
What is digital image??
What is digital image processing??
Digital image processing task.
Applications.
Types of digital images.
Difficulties in image processing.
Study on your own.
Introduction to image
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An natural image captured with a camera,
telescope, microscope or other type of optical
instrument displays a continuously varying array
of shades and color tones. This is known as
continuous tone image or analog image.
An image provides information.
Why DIGITAL IMAGE??
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Storage of an analog image !!!
Processing an analog image !!!
Answer is impossible
to store and difficult to
Process the image.
What is Digital image??
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A digital image differs from an photo in that x,y
and f(x,y) values are discrete.
What is Digital Image Processing??
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Image processing involves changing the nature of
an image in order to either
1) improve pictorial information for human
interpretations, or
2) render it more suitable for autonomous machine
perception
3) reducing image size on disk
An Image Processing Task
Preprocessing
(Enhancement
& Restoration)
Problem
Domain
Image
Acquisition
Segmentation
Knowledge
Base
Representation &
Description
Recognition &
Interpretation
Result
*Rafael C. Gonzalez and Richard E. Woods, Digital Image Processing, Addison-Wesley, 1992
Applications
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Lane tracking & Guidance of an autonomous vehicle:-
N.B.:- Project submitted by Sagar Shukla & his group(2009).
Applications – block diagram
Lane tracking & Guidance of an autonomous vehicle
Image Capture
Steering Control
Image Processing And
Analysis
Lane
Identification
Control Circuit
Applications
Real model of Manipulator
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Object detection in Pick & Place Robotic Manipulator:Camera
Stepper
Motor
Sliders
Object
N.B.:- Project submitted by Anant Jain & his group (2009).
Applications- CAD model
Object detection in Pick & Place Robotic Manipulator
Application
Object detection in Pick & Place Robotic Manipulator – block diagram
Image
Acquisition
Image Processing
Interfacing
M/C
CONTROLLER
Sensors
(Feedback)
Manipulator
Applications
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Object Follower : -
N.B.:- Project submitted by Parth Chopra & Karan Dave(2010).
Object Follower
Image
acquisition
Noise
Removal
Block
Diagram
Motion
control
Area and C.G
Measurement
Edge
detection
Morphological
operation
Shape
Detection
Applications
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Automatic Character Recognition :-
N.B.:- Project submitted by Tarun Patel & his group (2010).on “Number Plate Recognition and Parking”
Block diagram for OCR
Image
acquisition
Convert
number in
text or excel
Convert
RGB to
Gray image
OCR
Algorithm
Parking
Convert to binary image
via threshoding and
invert image
Apply
morphological
operation for
number plate
recognition
Applications
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Image Inpainting: -
N.B.:- Dissertation work done by Prof. Priyank Thakkar (CE Dept., UVPCE).
Types of digital Images
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Binary image
Gray scale image,
True color image or RGB image,
Indexed image.
Difficulty in digital image processing
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Image size
Gray scale image of 512 X 512 requires
= 512 X 512 X 8
= 2097152 bits.
= 2MB
3D image perception
Assignment
 Think about a block of blue color. Notice the color of an object when seen
under white lighting.
 Think about a block of blue color. Notice the color of an object when seen
under yellow lighting.
 Take a block of gray color and put it on white back ground. Note down the
brightness of object. Now, take the same block & put it on black
background. Notice the difference for two cases.
 Create picture using paint. Save it in jpg format. Save as the same picture
using 24 bit true color bmp format. Now, check the property of two image
and comment on size of same picture but saved in different formats
 Use your mobile phone low resolution camera & get image of dark sky at
night. Keep night mode on. Capture an image , get soft copy and conclude
about original scene & picture. (Mark color other than black.)