茶叶嫩芽图像自动分割方法的研究  

A Study on the Methods of Image Segmentation for Tea Leaf Sprouts

作　　者：汪洋[1] 胡靖[1] 邵煜坤 杨志刚[1] 吕军[1] 

机构地区：[1]黄山学院信息工程学院,安徽黄山245041

出　　处：《黄山学院学报》2015年第3期14-16,共3页Journal of Huangshan University

基　　金：国家级大学生创新创业训练计划项目(201410375013)

摘　　要：以茶叶嫩芽图像为研究对象,利用图像处理技术实现了茶叶嫩芽自动分割。该算法首先选取不同颜色模型下茶叶分割图像,其次采用最大类间阈值法对图像进行二值分割,最后通过数学形态学处理和逻辑操作实现嫩芽彩色分割。实验表明,基于R-B色差的茶叶嫩芽分割方法不仅能够有效地识别嫩芽区域,而且算法鲁棒性较强。Taking the images of tea sprouts as research samples, image processing technology is used to segment the tea sprouts. Firstly, the segmentation images of the tea leaves in different color models are chosen. Secondly, the OTSU method is used to segment the images. Finally, the tea sprouts are detected by mathematical morphology and logical operation. The results indicate that the method based on R-B component is effective and stable for the identification of tea sprouts.

关 键 词：图像分割 颜色模型 茶叶嫩芽 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]