现代电子技术2024，Vol.47Issue(19)：83-86,4.DOI:10.16652/j.issn.1004-373x.2024.19.013
基于SIFT-GMLBP的动态图像视觉信息提取研究
Research on dynamic image visual information extraction based on SIFT-GMLBP
摘要
Abstract
A dynamic image visual information extraction method based on SIFT-GMLBP is proposed.It aims to extract dynamic image features accurately and provide animation designers with more comprehensive and accurate visual information.Key points are taken as pixel centers.By using local binary pattern(LBP)and comparing the grayscale values of the pixel centers and those of their neighboring regions,the LBP codes are obtained to capture local texture features of dynamic images.Furthermore,the pixel neighboring regions in the dynamic images are divided into multiple meshes by mesh-based LBP(MLBP),so that each mesh generates an LBP value and the dimensionality of the feature vectors are reduced.By combining Gabor filters and after multi-scaled and multi-directional texture analysis,the local structural information of dynamic images at different frequencies and directions is extracted.The GMLBP features of all of the Gabor filter response images are integrated to form feature vectors containing rich texture information of the original dynamic images at different scales and directions.The experimental results show that the number and distribution of the key points extracted with the proposed method are very reasonable.The proposed method is of high stability and dynamic information capture ability.In addition,it can process up to 30 frames of images per second.关键词
SIFT/LBP/MLBP/Gabor小波变换/动态图像/局部特征/特征向量/视觉信息提取Key words
SIFT/LBP/MLBP/Gabor wavelet transform/dynamic image/local feature/feature vector/visual information extraction分类
信息技术与安全科学引用本文复制引用
郑蔚..基于SIFT-GMLBP的动态图像视觉信息提取研究[J].现代电子技术,2024,47(19):83-86,4.
