Classification system for artificial vision type Tommy mango

被引：0
|
作者：
Romero-Acero, Alvaro [1 ]
Marin-Cano, Alejandro [1 ]
Alberto Jimenez-Builes, Jovani [1 ]
机构：
[1] Univ Nacl Colombia, Fac Minas, Grp IAE, Bogota, Colombia
来源：
UIS INGENIERIAS | 2015年 / 14卷 / 01期
关键词：
Artificial vision; Image processing; Computer vision; Structured programming; Decision network; RGB color model;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
This paper presents an artificial vision application using the image processing toolbox of Matlab (R). The purpose is to classify the type variety Tommy mango according to their characteristics and size. To achieve web using a camera that captures the image in a particular workspace for three mangos maximum. It also describes the programming structure of the M-file code, the segmentation and recognition methods for image processing and graphics and obtaining results that describe the process of classification through the network of choice.
引用
收藏
页码：21 / 31
页数：11
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