关于“基于 SVD 的图像纹理分类模型与小波变换的应用”的评论。
Comments on “SVD-based modeling for image texture classification using wavelet transform”.
出版信息
IEEE Trans Image Process. 2013 Dec;22(12):5408. doi: 10.1109/TIP.2013.2279319.
PMID:23974628
Abstract
This correspondence points out that in [1] there are some errors in two important formulas and the performance of the proposed singular value decomposition (SVD) feature is severely overestimated. It also presents a modified SVD feature which competes with the Gabor feature.
摘要
这封通信指出，[1] 中有两个重要公式存在错误，并且所提出的奇异值分解（SVD）特征的性能被严重高估。文中还提出了一种改进的 SVD 特征，可以与 Gabor 特征竞争。
Zotero 插件