Mango Volume Estimation Algorithm Based on Machine Vision

被引：0

作者：

Cao Naiwen ^{[1
]}

Ma Zhaomin ^{[1
]}

Shi Yuqiu ^{[1
]}

机构：

[1] Guangxi Univ Technol, Lushan Coll, Dept Elect Informat & Control Engn, Liuzhou, Guangxi, Peoples R China

来源：

2011 INTERNATIONAL CONFERENCE ON MACHINE INTELLIGENCE (ICMI 2011), PT 1 | 2011年 / 3卷

关键词：

Mango; volume estimation; machine vision;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Volume is an important index in Mango classification. The estimation method based on machine vision is an effective way in fruit volume estimation because of no damage. A Mango volume estimation algorithm based on machine vision is proposed. The Mango image is first transferred into binary image via thresholding segmentation. And then the intercept area of the Mango image is obtained based on the ping pang image. The Mango volume is estimation by the method of least square based on the intercept area. The experiments show that the errors of estimation volume only 3.93%. This volume estimation algorithm should promote the effect of Mango classification.

引用

页码：168 / 170

页数：3