A Finding Method of Shape Theme Based on Wavelet Time Series
Finding shape theme has raised great attention in the database of shapes.According to the problem of incompatible about accuracy and complexity in the shape theme search algorithm,this paper proposed a finding theme algorithm using the multi-resolution analysis of wavelet and the processing capability of reduction dimeasion of time sequence,accurately calculated the similarity between different objects combining with the Euclidean distance formula,and achieved satisfactory results.Through the comparison between the real data sets to test and traditional shape theme algorithm,it shows that the method has good stability and reliability,and ensure the real-time processing ability of the closed contour shapes overall matching.
time series shape matching Haar wavelet Euclidean distance
Guo Qiu Guo Lu
College of Software, University of Science and Technology Liaoning, AnShan, Liaoning, 114051, China Colege of Science and Technology, Shenyang Agricultural University, ShenYang, Liaoning,110161, China
国际会议
太原
英文
1010-1013
2012-12-08（万方平台首次上网日期，不代表论文的发表时间）