期刊论文

中文

湖南农业大学学报(自然科学版)

1007-1032

2022

48

4

501-506

10.13331/j.cnki.jhau.2022.04.019

国家重点研发计划项目子课题(2016YFD0702100)。

本校为其他机构

针对目前株洲丰科林业装备有限公司智能–1型油茶脱壳机中分选识别系统存在的识别方法单一、受分选目标颜色影响大、自适应功能较差等问题,建立了基于多特征降维的油茶果壳籽粒的分选识别方法:提取油茶果壳籽粒的6维形态和颜色特征;根据这些特征的特性采用降维的方法,以保证算法的识别效率;将降维方法融入人工免疫网络算法中进行算法模型的辨识.选用颜色特征区分较明显的分别已晾晒3 d和12 d的油茶果进行采集分选,通过降维优化得到2分量、4分量与6分量的3 d晾晒样本识别率均值达70％、80％、90％;晾晒12 d的识别率均值达50％、60％、75％;晾晒3 d识别时间均值为60 ms、350 ms、450 ms;晾晒12 d的...

Aiming at the problem of single recognition method,large influence by target color and poor adaptive function for the recognition and sorting system of intelligent-1 type Camellia sheller manufactured by Fengke Forestry Equipment Technology Co.Ltd,a new recognition and sorting system method of the shell and the seed was established based on the reduction of multi-features dimension for Camellia.Six dimensional of morphological and color features was extracted in Camellia shell/seed.According to the characteristics of these features,a dimension reduction method is proposed to ensure the recogni...