作者
Zhenhua Guo, Xingzheng Wang, Jie Zhou, Jane You
发表日期
2015/12/17
期刊
IEEE Transactions on Image Processing
卷号
25
期号
2
页码范围
687-699
出版商
IEEE
简介
Local binary pattern (LBP) has successfully been used in computer vision and pattern recognition applications, such as texture recognition. It could effectively address grayscale and rotation variation. However, it failed to get desirable performance for texture classification with scale transformation. In this paper, a new method based on dominant LBP in scale space is proposed to address scale variation for texture classification. First, a scale space of a texture image is derived by a Gaussian filter. Then, a histogram of pre-learned dominant LBPs is built for each image in the scale space. Finally, for each pattern, the maximal frequency among different scales is considered as the scale invariant feature. Extensive experiments on five public texture databases (University of Illinois at UrbanaChampaign, Columbia Utrecht Database, Kungliga Tekniska Högskolan-Textures under varying Illumination, Pose and Scale …
学术搜索中的文章
Z Guo, X Wang, J Zhou, J You - IEEE Transactions on Image Processing, 2015