Detection of Surface Defects of Fruits Based on Fractal Dimension

摘要：

As the identification of surface defects is very important in fruit automatic detection, a new method for the detection of fruit surface defects based on fractal dimension is suggested. In this method, fruit image was col-lected using computer vision system. The fractal dimension of fruit image was calculated by an improved box dimension. The fruit fractal dimension reflects the three dimensional characteristics of the fruit as well as information of the fruit surface. The detection of surface defects of fruits was performed according to a given threshold of fruit image fractal dimension. The results on Fuji apple fruits showed that the improved box dimension method was effective and reli-able in the detection of fruit defects for its improvement in the accuracy in the calculation of the fractal dimension.

关键词： Fruit Surface defects Detection Fractal dimension

作者: Yongxiang Sun Yong Liang Qiulan Wu

作者单位: School of Information Science and Engineering,Shandong Agricultural University,Taian, Shandong Province, P.R. China, 271018

会议类型: 国际会议

会议名称: The 4th IFIP International on Computer and Computing Technologies in Agriculture and the 4th Symposium on Development of Rural Information(第四届国际计算机及计算机技术在农业中的应用研讨会暨第四届中国农业信息化发展论坛 CCTA 2010)

会议地点: 南昌

会议语种:英文

页码: 547-554

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）