Identification Methods of Picking Tomatoes Based on Color Information

摘要

In order to make tomatoes harvesting robot identify the picking tomatoes accurately,a recognition method of picking tomatoes is put forward. Through statistical analysis to color indicators of the target and background in different color space in field tomatoes images,color indicators of picking object is determined. On different segmentation algorithms comparison,identification model is the establishment for improving Ostu segmentation based on color information. Experimental results show that ripe tomatoes' success recognition rate is above 98%,and green ripe tomatoes success recognition rate is above 90%.