科研产出
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1Detection of early decayed oranges by structured-illumination reflectance imaging coupling with texture feature classification models
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机构：
来源：FRONTIERS IN PLANT SCIENCE
关键词： citrus; early decay detection; structured light imaging; image processing; classification models
年份：2022
2Detection of defects on apple using B-spline lighting correction method
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机构：
来源：PIAGENG 2013: IMAGE PROCESSING AND PHOTONICS FOR AGRICULTURAL ENGINEERING
关键词： machine vision image processing defect detection apples lighting correction
年份：2013
3Principles, developments and applications of computer vision for external quality inspection of fruits and vegetables: A review
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机构：
来源：FOOD RESEARCH INTERNATIONAL
关键词： Computer vision Hyperspectral imaging Multispectral imaging External quality inspection Fruits Vegetables
年份：2014
4Detection of early bruises on peaches (Amygdalus persica L.) using hyperspectral imaging coupled with improved watershed segmentation algorithm
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机构：
来源：POSTHARVEST BIOLOGY AND TECHNOLOGY
关键词： Peach bruise Hyperspectral imaging Improved watershed segmentation algorithm Image processing
年份：2018
5Prediction of soluble solids content of apple using the combination of spectra and textural features of hyperspectral reflectance imaging data
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机构：
来源：POSTHARVEST BIOLOGY AND TECHNOLOGY
关键词： Apple Soluble solids content Hyperspectral imaging Textural features Stability competitive adaptive reweighted sampling
6Automatic detection of defective apples using NIR coded structured light and fast lightness correction
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机构：
来源：JOURNAL OF FOOD ENGINEERING
关键词： Machine vision Defect detection Stem-end/calyx identification NIR structured light Lightness correction
7A comparative study for the quantitative determination of soluble solids content, pH and firmness of pears by Vis/NIR spectroscopy
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机构：
来源：JOURNAL OF FOOD ENGINEERING
关键词： visible and near infrared spectroscopy soluble solids content PH firmness pear partial least squares least squares-support vector machine effective wavelength
8Variable Selection in Visible and Near-Infrared Spectral Analysis for Noninvasive Determination of Soluble Solids Content of 'Ya' Pear
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机构：
来源：FOOD ANALYTICAL METHODS
关键词： Near infrared spectroscopy Monte Carlo-uninformative variable elimination Successive projections algorithm Variable selection Soluble solids content 'Ya' pear
9A multi-region combined model for non-destructive prediction of soluble solids content in apple, based on brightness grade segmentation of hyperspectral imaging
作者：
机构：
来源：BIOSYSTEMS ENGINEERING
关键词： Hyperspectral image; Multi-region combined model; Effective wavelength; SSC; Brightness grade segmentation
年份：2019
10Comparison and optimization of models for SSC on-line determination of intact apple using efficient spectrum optimization and variable selection algorithm
作者：
机构：
来源：INFRARED PHYSICS & TECHNOLOGY
关键词： Soluble solids content; Full-transmittance; Inefficient transmittance spectra; Characteristic wavelength
年份：2019
