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.
Abstract from the paper’s OpenAlex record, shown for indexing and research. Copyright remains with the authors or the publisher. Read at the source ↗
The text the model read, with the source record’s inline markup (italics, sub- and superscripts) rendered and its character entities decoded; quote offsets refer to the raw text.
Claims 5
Claim · model-written summary
The algorithm adapted to tobacco images of varying quality.
- Taxon
- tobacco
Nicotiana tabacume0
- Outcome
- adaptive to various quality tobacco imagese0
Not reportedComparatorValue
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The algorithm is adaptive to various quality tobacco images.”
Claim · model-written summary
The algorithm was precise and reduced processing time.
- Taxon
- Tobacco
Nicotiana tabacumt0
- Outcome
- processing timee0
- Direction
- decreasede0
Not reportedComparatorValue
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The algorithm is precious and the processing time is decreased.”
t0“Tobacco”
Claim · model-written summary
The algorithm ran in real time.
- Taxon
- Tobacco
Nicotiana tabacumt0
- Outcome
- runs in real timee0
Not reportedComparatorValue
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“It also runs in real time.”
t0“Tobacco”
Claim · model-written summary
The algorithm worked efficiently and stably in an automated classification system.
- Taxon
- tobacco
Nicotiana tabacume0
- Outcome
- works efficiently and stablye0
Not reportedComparatorValue
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“It works efficiently and stably with a tobacco leaf structure classifying automatically system.”
Claim · model-written summary
Practical results supported feasibility and satisfactory performance.
- Taxon
- Tobacco
Nicotiana tabacumt0
- Outcome
- feasible and satisfactorye0
Not reportedComparatorValue
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The practical results showed that it is feasible and satisfactory.”
t0“Tobacco”