Embed Size (px)
DESCRIPTION
Image processing and DIP
Citation preview
An Introduction To Some New Era FieldsPart _ 1B
Presented By: Atiqa Ijaz Khan
Wednesday, April 12, 2023PIAIP_NESPAK 2
Introduction to New FieldsEmerging New Subjects and their applications
Wednesday, April 12, 2023PIAIP_NESPAK 3
Introduction to New Fields
Remote Sensing (RS)
Geographic Information
System (GIS)Geomatics
Wednesday, April 12, 2023PIAIP_NESPAK 4
PART – 01B
Image Processing
Wednesday, April 12, 2023PIAIP_NESPAK 5
Digital Image ProcessingIntroduction to Basics
Wednesday, April 12, 2023PIAIP_NESPAK 6
Image Processing
Digital image processing is a technology of applying a number of computer algorithms to process a digital image.
Back in 1980’s, after computer gain enough speed and memory.
It includes: Image acquisition
Image processing
The result can either: An image.
Or a set of representative characteristic of original image. Like: Classified images
Wednesday, April 12, 2023PIAIP_NESPAK 7
a) Original RGB Imageb) R-componentc) G-componentd) B-component
Wednesday, April 12, 2023PIAIP_NESPAK 8
Why Image Processing?
Its Human erg to get from Better to Best To have a high Quality images.
To see beyond the human visionary.
To have a precise interpretation.
To extract the hidden information.
To utilize the maximum of the available.
To get a better idea before getting into real-time work-out, like surveying.
Wednesday, April 12, 2023PIAIP_NESPAK 9
Where to use Image Processing?
Remote sensing (e.g. satellite imagery)
Geographic Information System (e.g. image processing)
Medical imaging (e.g. X-ray, CT Scan, MRI)
Forensics (e.g. finger-prints)
Military (e.g. detection, tracking)
Wednesday, April 12, 2023PIAIP_NESPAK 10
Extracted Information From Processed Images
Type of information extracted
Spatial Information
Geometric data
Shape, size
Quantitative data
Numbers, count
Spectral Information
Radiometric data
Tone, texture
Qualitative data
Sharpness, enhancement
Wednesday, April 12, 2023PIAIP_NESPAK 11
Anomalies: Types and Examples
Typ
e o
f A
nom
alie
s Systematic Errors
Internal error
Geometric error
Non-systematic
Error
Platform error (satellite)
Non-predictable
Exam
ple
s of
Anom
alie
s
Systematic Distortion
Earth rotation
Earth curvature
Mirror scan velocity
Non-systematic Distortion
Altitude
Attitude
Wednesday, April 12, 2023PIAIP_NESPAK 12
THE END
Wednesday, April 12, 2023PIAIP_NESPAK 13
REFERENCES
1. Using Geographic Information System (GIS) to Manage Civil Engineering Projects By Asmaa Abdul Jabbar
2. Longley et al (2005) Geographic Information Systems and Science. 2nd Edition. John Wiley and Sons Ltd. (Chapter 14, pages 317-319)
3. www.esri.com/engineering4. http://webhelp.esri.com/arcpad/8.0/userguide/index.htm#capture_devices/
concept_intro.htm
Special AcknowledgementIndustrial partners: ESRI, Danish Hydraulic Institute, Camp, Dresser and McKee, Dodson and AssociatesGovernment partners:
Federal: EPA, USGS, Corps of Engineers (Hydrologic Engineering Center)State: Texas Natural Resource Conservation Commission, Texas Water Development
BoardLocal: Lower Colorado River Authority, City of Austin, Dept. of Watershed Protection
Academic Partners: University of Texas, Brigham Young University, Utah State University
Wednesday, April 12, 2023PIAIP_NESPAK 14
Any Quires
