Texture Features for Image Retrieval
Bangalore S Manjunath, Wei‐Ying Ma · 2001
The authors' main focus in this chapter is on descriptors that are useful for texture representation for similarity search. They begin with an overview of image texture, emphasizing characteristics and properties that are useful for indexing and retrieving images using texture. For convenience, the existing texture descriptors are classified into three categories: features that are computed in the spatial domain (Section 12.3), features that are computed using random field models (Section 12.4), and features that are computed in a transform domain (Section 12.5). Section 12.6 contains a comparison of different texture descriptors in terms of image-retrieval performance. Section 12.7 describes the use of texture features in image segmentation and in constructing a texture thesaurus for browsing and searching an aerial image database. Ongoing work related to texture in the moving picture experts group (MPEG-7) standardization within the international standards organization (ISO) MPEG subcommittee is also described briefly.