Paper · 2007 · Journal of Donghua University

A Classification Algorithm for a Tobacco Leaf Structure with Image Processing

Shang Qing-qing

5
claims
8
verbatim quotes
1
citations
2
research areas
—
Not open access

Abstract

To overcome the flaw of the conventional method of detecting and classifying the tobacco leaf structure,the application of image processing and analyzing in tobacco leaf structure classification and recognition are introduced.The details of some main image processing algorithms such as color image segmentation,connected component labeling,area detecting,recognizing and classifying are discussed.A algorithm for classifying tobacco leaf area dynamically is presented.It based on the concept of the scatter of classification.The algorithm is adaptive to various quality tobacco images.The algorithm is precious and the processing time is decreased.It also runs in real time.It works efficiently and stably with a tobacco leaf structure classifying automatically system.The practical results showed that it is feasible and satisfactory.

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Claims 5

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

The algorithm adapted to tobacco images of varying quality.

Outcome
adaptive to various quality tobacco imagese0

Not reportedComparatorValue

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Nicotiana tabacum
Nicotiana tabacum · TaxonJom / Joachim Müllerchen · CC BY 2.5 · Wikimedia Commons ↗

Verbatim

e0

“The algorithm is adaptive to various quality tobacco images.”

✓ located verbatim in the source · abstract, characters 526–586 · show in text ↑
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

The algorithm was precise and reduced processing time.

Outcome
processing timee0
Direction
decreasede0

Not reportedComparatorValue

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Nicotiana tabacum
Nicotiana tabacum · TaxonJom / Joachim Müllerchen · CC BY 2.5 · Wikimedia Commons ↗

Verbatim

e0

“The algorithm is precious and the processing time is decreased.”

✓ located verbatim in the source · abstract, characters 586–649 · show in text ↑
t0

“Tobacco”

✓ located verbatim in the source · title, characters 33–40 · show in text ↑
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

The algorithm ran in real time.

Outcome
runs in real timee0

Not reportedComparatorValue

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Nicotiana tabacum
Nicotiana tabacum · TaxonJom / Joachim Müllerchen · CC BY 2.5 · Wikimedia Commons ↗

Verbatim

e0

“It also runs in real time.”

✓ located verbatim in the source · abstract, characters 649–675 · show in text ↑
t0

“Tobacco”

✓ located verbatim in the source · title, characters 33–40 · show in text ↑
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

The algorithm worked efficiently and stably in an automated classification system.

Outcome
works efficiently and stablye0

Not reportedComparatorValue

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Nicotiana tabacum
Nicotiana tabacum · TaxonJom / Joachim Müllerchen · CC BY 2.5 · Wikimedia Commons ↗

Verbatim

e0

“It works efficiently and stably with a tobacco leaf structure classifying automatically system.”

✓ located verbatim in the source · abstract, characters 675–770 · show in text ↑
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Practical results supported feasibility and satisfactory performance.

Outcome
feasible and satisfactorye0

Not reportedComparatorValue

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Nicotiana tabacum
Nicotiana tabacum · TaxonJom / Joachim Müllerchen · CC BY 2.5 · Wikimedia Commons ↗

Verbatim

e0

“The practical results showed that it is feasible and satisfactory.”

✓ located verbatim in the source · abstract, characters 770–836 · show in text ↑
t0

“Tobacco”

✓ located verbatim in the source · title, characters 33–40 · show in text ↑