摘要
针对小波多分辨率下木材纹理分析中小波基的类型和分解级数进行了研究。用小波基重构误差和小波基的性质确定小波基;用信息熵和重构图像能量确定分解级数。实验证明,选用Symlets4小波基对木材纹理图像进行2级分解就能够获得较高的分类识别率。
This paper discussed the wavelet base type and the wavelet decomposition progression in wood texture wavelet multi-resolution analysis. Wavelet base was confirmed by reconstruction error and its nature, and wavelet decomposition progression was Confirmed by the information entropy and the energy of reconstruction images. The experiment showed that the higher classified recognition rate can be obtained by using the Symlets4 wavelet base and carrying on 2-level decomposition to wood texture images.
出处
《林业机械与木工设备》
2007年第5期25-27,共3页
Forestry Machinery & Woodworking Equipment
基金
黑龙江省自然科学基金项目(C2004-03)
哈尔滨市自然科学基金项目(2004AFXXJ020)
关键词
木材纹理
小波多分辨率分析
小波基
分解级数
wood texture
wavelets multi-resolution analysis
wavelet base
decomposition progression
