红外与毫米波学报2002，Vol.21Issue(5)：327-331,5.
基于协同神经网络的仿射不变性检索相似性度量方法
A SIMILARITY MEASUREMENT FOR AFFINE INVARIANCE RETRIEVAL BASED ON SYNERGETIC NEURAL NETS(SNN)
摘要
Abstract
A new concept of control parameter, order vector, based on SNN was proposed. More specifically, its associate properties for image retrieval was studied. Based on the properties, an efficient element-based affine invariance similarity measurement was proposed for retrieval of trademark images. The experiments indicate that the retrieval method is good in against noisy and occluded images, and the method has affine invariance in translated, rotated and scaled images.关键词
图像检索/相似性度量/仿射不变性/协同神经网络Key words
Image retrieval/Similarity measurement/Affine invariance/synergetic neural net(SNN)分类
信息技术与安全科学引用本文复制引用
..基于协同神经网络的仿射不变性检索相似性度量方法[J].红外与毫米波学报,2002,21(5):327-331,5.基金项目
国家自然科学基金(批准号69772002)资助项目 （批准号69772002）
