image processing in agro-based industries

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Page 1: Image Processing in agro-based industries

IMAGE PROCESSING

IN AGRO-BASED

INDUSTRIES

Sandeep Pawar (143350016)

Page 2: Image Processing in agro-based industries

Automation

Control System

Machine Vision

Image Processing

2

Page 3: Image Processing in agro-based industries

Image processing in industries

Source: Gunasekaran S, Vol. IV- Automation of food

processing

3

Page 4: Image Processing in agro-based industries

4Source: Clarence W., Research Laboratory for fish processing automation

(1992)

Page 5: Image Processing in agro-based industries

Image processing steps

Image enhancement

Image segmentation

Feature extraction

Template matching

Pattern recognition

5

Page 6: Image Processing in agro-based industries

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

Page 7: Image Processing in agro-based industries

Product grading 7

Source: M.Omid et al, 2010,

Journal of food engineering

Page 8: Image Processing in agro-based industries

Classification by texture

analysis8

Source: A.

Khoshroo et al,

Classification of

Pomegranate Fruit

using Texture

Analysis of MR

Images (2009)

Page 9: Image Processing in agro-based industries

Image processing in packaging9

Package inspection

Label verification

Seal inspection

Wrinkle alignment

Carton inspection

Automatic glue placement

Page 10: Image Processing in agro-based industries

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

Page 11: Image Processing in agro-based industries

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.

Page 12: Image Processing in agro-based industries

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.