Detection of orchard citrus fruits using a monocular machine vision-based method for automatic fruit picking applications

•An accurate and reliable mature citrus detection method is proposed.•BLHF effectively compensates for the non-uniform illumination distribution of images.•AERGCM generates a red and green chromatic map with higher image contrast.•HIKSVM is suitable for filtering false detections using a histogram-t...

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Veröffentlicht in:	Computers and electronics in agriculture 2018-09, Vol.152, p.64-73
Hauptverfasser:	Zhuang, J.J., Luo, S.M., Hou, C.J., Tang, Y., He, Y., Xue, X.Y.
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive systems Automatic fruit picking Citrus detection Citrus fruits Computer science Filtration Fruits Harvest Harvesting Histograms Illumination Image enhancement Machine vision Monocular machine vision Monocular vision Morphology Occlusion Orchards Support vector machines Vision systems
Online-Zugang:	Volltext
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