Research on the detection method of cucumber freshness based on machine vision
Manually picking cucumbers is time-consuming and labor-intensive.Automatic cucumber picking can greatly improve the production efficiency.However,few effective methods have been found so far to accurately detect the freshness of cucumber fruits during the automatic picking process.This paper proposed a cucumber freshness detection method based on machine vision.The method used RGB image analysis to extract color features,connected area labeling to count the number of spines,applied gray-level co-occurrence matrix to extract texture features and used support vector machine algorithm to recognize and classify freshness.The average recognition accuracy on 320 images of Ningyang cucumbers reached 98.43%,suggesting that the cucumber freshness detection method proposed in this paper is effective.
NETL
NSTL
万方数据
