image processing in agro-based industries
TRANSCRIPT
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IMAGE PROCESSING
IN AGRO-BASED
INDUSTRIES
Sandeep Pawar (143350016)
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Automation
Control System
Machine Vision
Image Processing
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Image processing in industries
Source: Gunasekaran S, Vol. IV- Automation of food
processing
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4Source: Clarence W., Research Laboratory for fish processing automation
(1992)
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Image processing steps
Image enhancement
Image segmentation
Feature extraction
Template matching
Pattern recognition
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Image processing in food
industries6
Physical properties of food- visual features
Colour Most influential attribute
Visual inspection : important part of quality control
Texture Soft, hard, crispy, powdery, spongy
Size and Shape Appearance, mouth feel
Mass and volume
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Product grading 7
Source: M.Omid et al, 2010,
Journal of food engineering
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Classification by texture
analysis8
Source: A.
Khoshroo et al,
Classification of
Pomegranate Fruit
using Texture
Analysis of MR
Images (2009)
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Image processing in packaging9
Package inspection
Label verification
Seal inspection
Wrinkle alignment
Carton inspection
Automatic glue placement
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Image processing : two sides10
Precision, objectivity, speed
Saves tedious, inefficient manual inspection
tasks
Must be sufficiently flexible and robust to cope
with biological flexibility
Specialized hardware and software systems to
cope up with ever increasing demands of
speed and precision
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Current scenario and Future
scope11
Infancy stage
Systems: successful under constrained
conditions for specific applications
Most of the systems 2D and monochromatic
Needs 3D systems with colour processing
More robust, humanlike (artificial intelligence)
Developing generic image processing systems
that can be used for multiple applications may
increase acceptability.
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Conclusion12
Due to advances in electronics and computer technologies, vision systems can be installed in almost all food plants for an effective quality evaluation/control operation.
One of the biggest barriers in applying machine vision to the food processing industry is the system cost.
Though the system cost for image processing system has been significantly reduced the ratio of cost to benefit is still unacceptable in many potential applications.