Local Topographic Shape Patterns for Texture Description

IEEE Signal Process. Lett.(2015)

引用 5|浏览9
暂无评分
摘要
This letter introduces a new image descriptor named Local Topographic Shape Pattern (LTSP) for texture description by relying on complete shape-based image representation. Firstly, a texture image is decomposed into a tree of shapes, i.e., topographic map, to obtain a multi-scale and contrast-invariant representation. Secondly, the shape of each node in the tree is handled with four shape patterns which are proposed as spatial codes of the shape. Finally, statistical histograms of shape patterns are used as texture descriptors. Contrast experiments of the proposed method show satisfactory performance in terms of both texture retrieval and classification tasks when applied to the Brodatz and UMD texture datasets.
更多
查看译文
关键词
local topographic map,image representation,image coding,brodatz texture dataset,trees (mathematics),umd texture dataset,statistical analysis,ltsp,texture description,local topographic shape patterns,shape pattern,contrast-invariant representation,texture retrieval task,image classification,shape patterns,multiscale representation,image retrieval,texture classification task,statistical histograms,image texture,complete shape-based image representation,spatial codes,histograms,indexing,materials,shape
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要