Abstract

This study puts forward an improved fruit segmentation algorithm based on fuzzy theory and mathematical morphology and constructs the morphological filter to filter the images based on mathematical generalized morphological open-close and close-open operations in the algorithm. Furthermore, it conducts fruit segmentation by using fuzzy theory and determines the segmentation threshold according to the characteristics of standard S function and combining with ambiguity. Experimental results show that this algorithm is effective and has achieved ideal effect in practical application.

Keywords:

Fruit processing, fruit segmentation, fuzzy threshold,

References