A Review of Computer Vision Methods for Fruit Recognition

被引：13
|
作者：
Witus, Ian Kevin [1 ]
On, Chin Kim [1 ]
Alfred, Rayner [1 ]
Ibrahim, Ag. Asri Ag. [1 ]
Guan, Tan Tse [2 ]
Anthony, Patricia [3 ]
机构：
[1] Univ Malaysia Sabah, Fac Comp & Informat, Sabah, Malaysia
[2] Univ Malaysia Kelantan, Fac Creat Technol & Heritage, Kelantan, Malaysia
[3] Lincoln Univ, Fac Environm Soc & Design, Dept Appl Comp, Christchurch, New Zealand
来源：
ADVANCED SCIENCE LETTERS | 2018年 / 24卷 / 02期
关键词：
Computer Vision; Fruit Recognition; Image Recognition; Image Processing;
D O I：
10.1166/asl.2018.10786
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
This paper reviews the use of computer vision methodology in the field of fruit recognition. A fruit recognition process usually consists of three steps which are image acquisition, pre-processing, and image analysis. Various approaches are employed in the pre-processing and image analysis stages and some of these are presented in this paper. This review is conducted in order to understand the current state of the art of these approaches and to study the improvements and the advances in this area. A comparison between these methods will also be discussed.
引用
收藏
页码：1538 / 1542
页数：5
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