Digital Image-based Method of Leaf Color and Area Feature Recognition Article Swipe
Yujue Wang
,
Yuna Jia
,
Yang Bai
,
Qianshuo Wei
,
Man Zhang
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.26855/acc.2024.04.005
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.26855/acc.2024.04.005
In order to achieve fast and accurate acquisition of area and color feature parameters of plant leaves, a simple and easy-to-operate digital image resolution system is designed based on the Matlab Graphical User Interface (GUI) platform.This system enhances the accuracy of leaf area calculation through processing of grayscale changes, image segmentation, morphological analysis, median filtering, etc.Through the design of six edge detection operators, the system can meet the recognition requirements of different types of leaves.The color recognition module extracts color parameters of leaves using the Red Green Blue (RGB) color model, Hue Saturation Value (HSV) color model, and Lab color model.It then generates histograms for each color component.The results show that this method for extracting leaf characteristics is convenient, accurate, non-destructive, and can be applied to common leaf growth states.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.26855/acc.2024.04.005
- https://www.hillpublisher.com/ArticleDetails.aspx?type=PDF&cid=3151
- OA Status
- bronze
- Cited By
- 1
- References
- 3
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4399442433
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4399442433Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.26855/acc.2024.04.005Digital Object Identifier
- Title
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Digital Image-based Method of Leaf Color and Area Feature RecognitionWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-05-15Full publication date if available
- Authors
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Yujue Wang, Yuna Jia, Yang Bai, Qianshuo Wei, Man ZhangList of authors in order
- Landing page
-
https://doi.org/10.26855/acc.2024.04.005Publisher landing page
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https://www.hillpublisher.com/ArticleDetails.aspx?type=PDF&cid=3151Direct link to full text PDF
- Open access
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YesWhether a free full text is available
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bronzeOpen access status per OpenAlex
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https://www.hillpublisher.com/ArticleDetails.aspx?type=PDF&cid=3151Direct OA link when available
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Artificial intelligence, Feature (linguistics), Computer vision, Computer science, Pattern recognition (psychology), Image (mathematics), Color image, Image processing, Linguistics, PhilosophyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1Per-year citation counts (last 5 years)
- References (count)
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3Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.calculation | 43 |
| abstract_inverted_index.convenient, | 118 |
| abstract_inverted_index.etc.Through | 55 |
| abstract_inverted_index.recognition | 68, 76 |
| abstract_inverted_index.requirements | 69 |
| abstract_inverted_index.component.The | 107 |
| abstract_inverted_index.morphological | 51 |
| abstract_inverted_index.platform.This | 35 |
| abstract_inverted_index.segmentation, | 50 |
| abstract_inverted_index.characteristics | 116 |
| abstract_inverted_index.easy-to-operate | 20 |
| abstract_inverted_index.non-destructive, | 120 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| citation_normalized_percentile.value | 0.78590693 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |