Explore the world of image processing and computer

1. GOVERNMENT POLYTECHNIC COLLEGE, CHELAKKARA
Course Code- 6009: Seminar Presentation
“IMAGE PROCESSING AND COMPUTER VISON”
Guided by
Mr. Sajith C
Head of Department
Dept. of Mechanical Engineering
Presented by
Name of Student :SREYAS SADANANTHAN
Reg. No:2101020885
Co- Guided by
Mr. Prakash p.p
Lecturer
Dept. of Mechanical Engineering
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2. Contents of Presentation
• Introduction
• What is image processing
• What is computer vision
• Importance and application
• Image enhancement
• Image segmentation
• Object recognition
• Tracking
• Challenges
• Current advantages
• Conclusion
• Thanks
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3. Exploring the World of
Image Processing and
ComputerVision
As technology advances, so does the field of
Image Processing and ComputerVision.Inthis
presentation, we will go overthe fundamentals
of these fascinating areasandexplore their
manyapplications and advancements.
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4. Introduction
This presentation aims to provide
an overview of image processing
and computer vision and how
they can enhance visual
intelligence. We will explore the
basic concepts and techniques
used in these fields and their
applications in various industries.
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5. What isImageProcessing?
Manipulation
ImageProcessinginvolves the
manipulationand analysis of
imagestoenhancetheir quality
andextractvaluable information.
1 2 VisualPerception
Withrootsinphotography, drawing,
andcomputing,this areaofstudy
concernsthe abilityofcomputersto
interpretandemulatehuman visual
perception.
3 Applications
ImageProcessingisusedinavarietyoffieldssuchasmedical
imaging,remotesensing,anddigitalart.
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6. WhatisComputerVision?
1 Recognition
ComputerVisionisthe studyof enabling
machinesto interpretor"understand" the
visualworldandmakedecisionsbased on
that input.It involvesobject recognition,
imagesegmentation,and understanding
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Robotics
RoboticsandAutonomousV
ehiclesrely
heavilyonComputerVision,enabling them
to movewithinunfamiliar territories,avoid
obstacles,andinteract
with humansappropriately
3 AugmentedReality
AugmentedRealityrequiresaccurate
computervisionalgorithmsthat can track
objectsinreal-time,recognizeand respond
to gestures,andestimate distancesbetween
objectsaccurately
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7. Importance and Applications
Healthcare
Imageprocessingandcomputervisionareused to
analyzemedicalimages,detect diseases, andmonitor
patients'health
RoboticsandAutonomousVehicles
ComputerVisionenablesrobots and
autonomousvehiclesto understandtheir
surroundingsandoperateautonomouslyin
variousenvironments
SurveillanceandSecurity
ComputerVisionplaysapivotal rolein surveillance
systems,recognizingunauthorized accessortheft,
andtrackingcriminalactivities
AugmentedReality
AugmentedRealityinvolvesoverlayingdigital
information onrealobjects,enabling
transformativepossibilitiesfor design,
entertainment, education,andmore
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8. Image enhancement is a technique used to improve
the quality of an image. Itinvolves various operations
such as brightness and contrast adjustment, noise
reduction, and sharpening. Image enhancement is
used in various industries such asphotography,
medical imaging, and satellite imaging.
Image Enhancement
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9. Image Segmentation
Image segmentationis a technique used
to partition an image into multiple segments
or regions. It involves various operationssuch
as edge detection,thresholding, and
clustering.Image segmentation isused in
various industries such asobject recognition,
medical imaging, and
video surveillance.
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10. Object Recognition
Object recognition is a technique used to
identify objects in an image or video. It
involves various operations such as feature
extraction, classification, and localization.
Object recognition is used in various
industries such as autonomousvehicles,
robotics, and security.
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11. Object Detection
Object detection is a technique used to locate
and classify objects in an image or video. It
involves various operations such as region
proposal, feature extraction, and classification.
Object detection is used in various industries
such assurveillance, robotics, and healthcare
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12. Tracking
Tracking is a technique used to follow the
movement of an object in an image or video.
It involves various operations such as object
detection, feature extraction, and motion
estimation. Tracking isused in various
industries such as sports analysis, surveillance,
androbotics.
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13. Challenges
NoiseReduction
Noiseisacommonoccurrencein
images,causedby various factors
likelow light,poor cameraquality,
and environmentalconditions.
Denoisingimageshelpsto
improvetheir qualityand
optimizetheiranalysis
ObjectRecognition
Thestudyof enablingmachines to
identify andrecognizeobjects from
differentangles,positions, and
environmentsisacritical areain
ComputerVision,with applications
suchasimage searchand
autonomousvehicles
ImageSegmentation
ImageSegmentationinvolves
identifyingandseparating objects
orregionsofinterest in animage,
with applicationsin biomedicine
androbotics
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14. CurrentAdvancements
GANs
GenerativeAdversarial Networks
(GANs)aredeep learning
algorithmsthat can createnew
contentbasedon aninputdataset
seamlessly. Theycancreate
realistic images,sounds,andvideo
simulations,with applicationsin
movies,games,andart.
ObjectDetection
Objectdetection algorithms can
identify andlocate objects inan
imageoravideostreamin real-
time.Theyareusedin autonomous
cars,surveillance cameras,and
qualitycontrol in manufacturing.
DeepLearning
DeepLearninginvolvestraining
algorithmsto recognize patterns
andperformtasks basedoninput
data,similarto howahumanbrain
processes information.Recent
advancesin deeplearninghave
allowedfor breakthroughsin
speech recognition,natural
language processing,andimage
classification.
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15. Conclusion
ImageProcessingandComputerVisionisafast-growingfieldwithendless
possibilities.Astechnologyprogresses,weshouldexpectto seemore exciting
applicationsandadvancesinthis dynamicandever-changingfield.
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16. Thanks!
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