dip 1 introduction
DESCRIPTION
Digital Image Processing Lecture-1 By Manas Ranjan MantriTRANSCRIPT
Manas Ranjan Mantri ([email protected])
DIGITAL IMAGE PROCESSING
INTRODUCTION
Processing of Images which are Digital in nature by means of Digital Computer
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Digital Image Processing
Why do we need Digital Image Processing?
Improvement of pictorial information for human perception
Efficient storage and transmission Image processing for autonomous
application
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Human PerceptionImage processing employ methods capable of enhancing pictorial information for human interpretation and analysis.
Typical applications:
Noise filtering Contrast enhancement De-blurring
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Noisy Image
Filtered Image
Image Enhancement
Image Enhancement
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Low contrast Image
Enhanced Image
Image Enhancement
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Enhanced Image
Darker Image
Image Enhancement
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Enhanced Image
Brighter Image
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Image Enhancement
Blurred Image
Deblurred Image
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Image Enhancement
Blurred Image
Deblurred Image
Medical Imaging
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Original Image
Enhanced Image
Machine Vision Application
Here we extract information which are suitable for computer processing.
Typical application: For product assembly and inspection Automated target detection and
tracking Finger print recognition Aerial and satellite imagery for
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Automated Inspection
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Bottling plant automation
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Automated Inspection
Damaged Integrated Circuit
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Weather forecasting ECEDEPARTMENT
Image of Hurricane
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Radar ImagingECEDEPARTMENT
Image of Mountain
Steps in Digital Image Processing
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Image Acquisition
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Imaging sensor & capability to digitize the signal collected by the sensor
Video camera Digital camera Conventional camera & analog-to- digital converter
Preprocessing
To improve the image to ensure the success of further processes
e.g. Enhancing contrastRemoving noise Identifying information-rich areas
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Segmentation
To partition the image into its constituent parts (objects)
Raw data, depicting either boundaries or whole regions (corners vs. texture for example)
Need conversion to a form suitable for computer processing
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Representation & Description
Feature selection (description) deals with extracting:
Features that result in quantitative information of interest
Features that are important for differentiating one class of objects from another
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Recognition & Interpretation
To assign a label to an object based on information provided by the descriptors
To assign meaning to a group of recognized objects
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Knowledge Base
Knowledge database Guides the operation of each
processing module and controls the interaction between modules
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Different Components
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Questions???????
1. Define Digital Image Processing.2. What is the need of Digital Image
Processing?3. What are the various fields that use digital
image processing ?4. What are the fundamental steps in digital
image processing?5. What are the components of Image
processing system?
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