In order to automatically recognize and classify of wood surface texture and defects,we proposed a rapid and collaborative classification method,which fused spectrum transforms of wavelet,curvelet,and dual-tree complex wavelet. Initially,we extracted 14 features of wavelet,16 features of curvelet,and 38 features of dual-tree complex wavelet. We fused three characteristics and the whole image of the standard deviation and entropy,and used particle swarm algorithm to select24 key features. Finally,we used BP ...
【基金】
林业公益性行业科研专项(201304510);
黑龙江省自然科学基金项目(C201405)
【更新日期】
2015-03-16
【分类号】
TP391.41
【正文快照】
1)林业公益性行业科研专项(201304510),黑龙江省自然科学Fuse Spectrum Transform to Classify Texture and Defect of Plates//Su Yaowen,Yu Huiling,Liu Sijia,Fan Delin(Northeast Forestry University,Harbin 150040,P.R.China)//Journal of Northeast Forestry University