文章基本信息

标题：New Brodatz-Based Image Databases for Grayscale Color and Multiband Texture Analysis
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作者：Safia Abdelmounaime ; He Dong-Chen
期刊名称：ISRN Machine Vision
印刷版ISSN：2090-7796
电子版ISSN：2090-780X
出版年度：2013
卷号：2013
DOI：10.1155/2013/876386
出版社：Hindawi Publishing Corporation
摘要：Grayscale and color textures can have spectral informative content. This spectral information coexists with the grayscale or chromatic spatial pattern that characterizes the texture. This informative and nontextural spectral content can be a source of confusion for rigorous evaluations of the intrinsic textural performance of texture methods. In this paper, we used basic image processing tools to develop a new class of textures in which texture information is the only source of discrimination. Spectral information in this new class of textures contributes only to form texture. The textures are grouped into two databases. The first is the Normalized Brodatz Texture database (NBT) which is a collection of grayscale images. The second is the Multiband Texture (MBT) database which is a collection of color texture images. Thus, this new class of textures is ideal for rigorous comparisons between texture analysis methods based only on their intrinsic performance on texture characterization.