The Summary of Researches on Detections of Potato Surface Defects by Machine Vision

DOI

10.2991/wartia-16.2016.299How to use a DOI?

Keywords

machine vision, defect detection, image processing, potatoes

Abstract

The research of potato surface defect detection has an important signification on nondestructive detection and automation grading of potato. This paper summarizes the primary researches on potato surface defect detection by machine vision at home and abroad, and, based on clear and concise logical frame, divides the contents into 3 parts: the preprocessing of defective-potato image, the judgment of serious defect and the classification of mixed defect on potatoes. It mainly elaborates the approach on judging serious defect and the representative methods of classification of mixed defect, which would provide reference for the later researches. Meanwhile, it summarizes advantages and disadvantages in present researches, and look into the future approach on potato defect detection.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Haitao Tian
AU  - Jun Zhao
PY  - 2016/05
DA  - 2016/05
TI  - The Summary of Researches on Detections of Potato Surface Defects by Machine Vision
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 1466
EP  - 1470
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.299
DO  - 10.2991/wartia-16.2016.299
ID  - Tian2016/05
ER  -