农业工程学报2012，Vol.28Issue(14)：133-137,5.DOI:10.3969/j.issn.1002-6819.2012.14.021
基于偏好人工免疫网络多特征融合的油茶果图像识别
Image recognition of camellia fruit based on preference for aiNET multi-features integration
摘要
Abstract
To promote the recognition rates of machine-vision system in camellia fruit picking robot, the paper proposed the method of multi-feature integration using preference aiNet as the recognition algorithm. Based on the image procession of camellia fruit, the color feature, the morphology feature and the texture feature of the object region were clustered and the multi-features of camellia fruits were taken as the preference antibody, so the parameters of multi-features made effective integration in the preference aiNet. The simulation proved the accuracy of multi-feature integration reached 90.15% in the sunny day and 93.90% in the cloudy day, and the time complexity was nearly the same. This research has a certain meaning in application of forestry picking robot and provided the reference for further research of the camellia fruit picking robot.关键词
机器视觉/图像处理/特征识别/偏好人工免疫网络/油茶果/采摘机器人Key words
computer vision/ image processing/ feature extraction/ preference for artificial immune network/ camellia fruit/ picking robot分类
信息技术与安全科学引用本文复制引用
李昕,李立君,高自成,周健,闵淑辉..基于偏好人工免疫网络多特征融合的油茶果图像识别[J].农业工程学报,2012,28(14):133-137,5.基金项目
林业公益性行业科研专项基金(201104090) （201104090）
