Research on the Recognition Method for Obscured Apple in Natural Environment
The recognition method for apple fruits in natural environment was developed. Firstly, the OTSU dynamic threshold segmentation method with I2 color characteristic in the I1I2I3 color space was chosen for apple images segmentation. Secondly, the apple fruits were recognized by edge detection and the improved RHT transformation method, the overlapped apples and severely obscured apples by the branches and leaves were respectively done the separation and restoration operations before they were recognized. At last, some fruits recognition experiments were done for apples in three different states with the non-obscured, overlapped and severely obscured by branches and leaves. The results showed that this proposed method was feasible and can basically meet the requirements of robot picking.
Image recognition Dynamic threshold segmentation Improved RHT
LV Jidong JI Wei CHEN Fengyi ZHAO Dean XU Bo
School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China
国际会议
The 31st Chinese Control Conference(第三十一届中国控制会议)
合肥
英文
3932-3937
2012-07-01（万方平台首次上网日期，不代表论文的发表时间）