Digital Image Processing Lecture-1 By Manas Ranjan Mantri

1. DIGITAL IMAGE
PROCESSING
INTRODUCTION
Processing of Images which are Digital in nature by
means of Digital Computer
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Manas Ranjan Mantri (mr.mantri@gmail.com)

2. 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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3. Human Perception
Image 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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4. Image Enhancement
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Noisy Image
Filtered Image

5. Image Enhancement
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Low contrast Image
Enhanced Image

6. Image Enhancement
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Enhanced Image
Darker Image

7. 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

10. Medical Imaging
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Original Image
Enhanced Image

11. 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 weather
prediction
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12. Automated Inspection
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Bottling plant automation

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Automated Inspection
Damaged Integrated Circuit

14. Weather forecasting
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Image of Hurricane

15. Radar Imaging
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Image of Mountain

16. Steps in Digital Image Processing
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17. 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

18. Preprocessing
 To improve the image to ensure the
success of further processes
 e.g.
 Enhancing contrast
 Removing noise
 Identifying information-rich areas
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19. 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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20. 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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21. 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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22. Knowledge Base
Knowledge database
 Guides the operation of each processing
module and controls the interaction
between modules
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23. Different Components
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24. 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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