A method for classifying citrus surface defects based on machine vision

Wenzhuo Zhang; Aijiao Tan; Guoxiong Zhou; Aibin Chen; Mingxuan Li; Xiao Chen; Mingfang He; Yahui Hu

doi:10.1007/s11694-021-00868-z

ScienceGate Book Chapters

JOURNAL ARTICLE

A method for classifying citrus surface defects based on machine vision

Wenzhuo Zhang Aijiao Tan Guoxiong Zhou Aibin Chen Mingxuan Li Xiao Chen Mingfang He Yahui Hu

Year: 2021 Journal: Journal of Food Measurement & Characterization Vol: 15 (3)Pages: 2877-2888 Publisher: Springer Science+Business Media

DOI: 10.1007/s11694-021-00868-z

Get Full-Text PDF Get Analytical Report

Keywords:

Artificial intelligence Convolutional neural network Machine vision Computer science Pattern recognition (psychology) Support vector machine Artificial neural network Computer vision

Metrics

Cited By

2.72

FWCI (Field Weighted Citation Impact)

Refs

0.91

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Industrial Vision Systems and Defect Detection

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Smart Agriculture and AI

Life Sciences → Agricultural and Biological Sciences → Plant Science

Spectroscopy and Chemometric Analyses

Physical Sciences → Chemistry → Analytical Chemistry

A method for classifying citrus surface defects based on machine vision

Metrics

Citation History

Topics

Related Documents

Wafer Defects Detecting and Classifying System Based on Machine Vision

Surface Defects Inspection System Based on Machine Vision

Research on Detection Method of Sheet Surface Defects Based on Machine Vision

An improved Vision Transformer-based method for classifying surface defects in hot-rolled strip steel

Research on Steel Plate Surface Defects Detection Method Based on Machine Vision