Fruit shape detection by level set  

作　　者：GUI Jiang-sheng RAO Xiu-qin YING Yi-bin 

机构地区：[1]School of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310029, China

出　　处：《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》2007年第8期1232-1236,共5页浙江大学学报（英文版）A辑（应用物理与工程）

基　　金：Project supported by the National Natural Science Foundation ofChina (No. 30671197);the Program for New Century ExcellentTalents in University (No. NCET-04-0524), China

摘　　要：A novel approach for fruit shape detection in RGB space was proposed,which was based on fast level set and Chan-Vese model named as Modified Chan-Vese model(MCV) . This new algorithm is fast and suitable for fruit sorting because it does not need re-initializing. MCV has three advantages compared to the traditional methods. First,it provides a unified frame-work for detecting fruit shape boundary,and does not need any preprocessing even though the raw image is noisy or blurred. Second,if the fruit has different colors at the edges,it can detect perfect boundary. Third,it processed directly in color space without any transformations that may lose much information. The proposed method has been applied to fruit shape detection with promising result.A novel approach for fruit shape detection in RGB space was proposed,which was based on fast level set and Chan-Vese model named as Modified Chan-Vese model（MCV） . This new algorithm is fast and suitable for fruit sorting because it does not need re-initializing. MCV has three advantages compared to the traditional methods. First,it provides a unified framework for detecting fruit shape boundary,and does not need any preprocessing even though the raw image is noisy or blurred. Second,if the fruit has different colors at the edges,it can detect perfect boundary. Third,it processed directly in color space without any transformations that may lose much information. The proposed method has been applied to fruit shape detection with promising result.

关 键 词：Machine vision Shape detection Level set Fruit sorting 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]