Classification of rice grain in digital images using morphological

and color features Presenter: Andrew Kuo

Advisor: Yan-Fu Kuo Date: 2014.05.15

Department of Bio-industrial Mechatronics Engineering, National Taiwan University, Taiwan, R.O.C.

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OutlineIntroduction

• rice grain structure

• research objective

• procedure

Materials & Methods

• image acquisition

• feature quantification

Future work

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Rice grain structureRice seed

• rice grain with hull

Brown rice

• rice grain without hull

White rice

• rice without hull, bran and germ

germ

white rice

bran

hull

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Objective

To quantify the morphological and color features of rice seed

To gather different kinds of rice seed that have similar features in clusters based on morphological and color features

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Procedure

image acquisition

rice seed preparation

feature quantification

clustering

analysis & illustrate

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Image acquisition

Equipment

Fusion

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Image acquisition -Equipment

Canon 450D

Adaptor

Microscope

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Canon 450D

adaptor

microscope

Image acquisition -Equipment

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Canon 450D

- CMOS APS-C

- 4272 * 2848 pixel

- EF-s lens mount

-ISO 100 to 1600

adaptor

microscope

Image acquisition -Equipment

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Canon 450D

Adaptor

Microscope

Image acquisition -Equipment

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Canon 450D

Adaptor

Microscope

Image acquisition -Equipment

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Canon 450D

Adaptor

Microscope

- objective len 2X

Image acquisition -Equipment

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Canon 450D

Adaptor

Microscope

Image acquisition -Equipment

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Image acquisition -Fusion

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Feature quantification

Coefficient of Fourier descriptor

Geometrical features

Color feature

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Chain code

Feature quantification -coefficient of Fourier descriptor

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Chain code

Feature quantification -coefficient of Fourier descriptor

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Assuming that the chain code is followed at constant speed, the time needed to traverse a particular link ai, is

Feature quantification -coefficient of Fourier descriptor

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The changes in the x, y projections of the chain as the link ai are traversed

Feature quantification -coefficient of Fourier descriptor

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The projections on x and y of the first p links of the chain are

Feature quantification -coefficient of Fourier descriptor

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The Fourier series expansion for the x and y projection of the chain code of the complete contour are defined as

Feature quantification -coefficient of Fourier descriptor

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Area

Perimeter

Major diameter

Aspect ratio

Feature quantification -geometrical features

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Area

Perimeter

Major diameter

Aspect ratio

Feature quantification -geometrical features

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Area

Perimeter

Major diameter

Aspect ratio

Feature quantification -geometrical features

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Area

Perimeter

Major diameter

Aspect ratio

Feature quantification -geometrical features

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major diameter

minor diam

eter

Area

Perimeter

Major diameter

Aspect ratio

Feature quantification -geometrical features

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major diameter

minor diam

eter

Feature quantification -color feature

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mapping function

Future work

Acquire images of 360 kinds of rice grain

Describe the contour of the grain in Fourier descriptor

Extract the color information from the raw files

Gather different kinds of rice seed in clusters based on morphological and color features

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Thanks for your attention!

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