ArticlePlant methods2020
Skewed distribution of leaf color RGB model and application of skewed parameters in leaf color description model.
Article in Plant methods, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Article
- Mathematical modeling with RGB data for comparative analysis of rice lineages and distribution of breaking points.BMC plant biology · 2026Article
- RGB Indices Can Be Used to Estimate NDVI, PRI, and Fv/Fm in Wheat and Pea Plants Under Soil Drought and Salinization.Plants (Basel, Switzerland) · 2025Article
- Two-fold red excess (TREx): a simple and novel digital color index that enables non-invasive real-time monitoring of green-leaved as well as anthocyanin-rich crops.Plant methods · 2025Article
- Prediction of Salicornia europaea L. biomass using a computer vision system to distinguish different salt-tolerant populations.BMC plant biology · 2024Article
- Study on canopy extraction method for narrowband spectral images based on superpixel color gradation skewness distribution features.Plant methods · 2024Article
- Study on Calcination Characteristics of Diaspore-Kaolin Bauxite Based on Machine Vision.Molecules (Basel, Switzerland) · 2024Article
- RGB Imaging as a Tool for Remote Sensing of Characteristics of Terrestrial Plants: A Review.Plants (Basel, Switzerland) · 2024Review
- PNNGS, a multi-convolutional parallel neural network for genomic selection.Frontiers in plant science · 2024Article
- Accurate classification of wheat freeze injury severity from the color information in digital canopy images.PloS one · 2024Article
- Phenotyping Key Fruit Quality Traits in Olive Using RGB Images and Back Propagation Neural Networks.Plant phenomics (Washington, D.C.) · 2023Article
- Response and inversion of skewness parameters to meteorological factors based on RGB model of leaf color digital image.PloS one · 2023Article
- Visual appearance of the uterine cervix differs on the basis of HPV type status in high-grade squamous intraepithelial lesion: the results of a reliable method.BMC women's health · 2022Article
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Authors and funding
7 authors.
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Abstract
backgroundImage processing techniques have been widely used in the analysis of leaf characteristics. Earlier techniques for processing digital RGB color images of plant leaves had several drawbacks, such as inadequate de-noising, and adopting normal-probability statistical estimation models which have few parameters and limited applicability.
resultsWe confirmed the skewness distribution characteristics of the red, green, blue and grayscale channels of the images of tobacco leaves. Twenty skewed-distribution parameters were computed including the mean, median, mode, skewness, and kurtosis. We used the mean parameter to establish a stepwise regression model that is similar to earlier models. Other models based on the median and the skewness parameters led to accurate RGB-based description and prediction, as well as better fitting of the SPAD value. More parameters improved the accuracy of RGB model description and prediction, and extended its application range. Indeed, the skewed-distribution parameters can describe changes of the leaf color depth and homogeneity.
conclusionsThe color histogram of the blade images follows a skewed distribution, whose parameters greatly enrich the RGB model and can describe changes in leaf color depth and homogeneity.
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