Liu, Dayou; Dong, Chuo; Wang, Shengsheng An improved similarity retrieval of images based on CPM and rectangle algebras. (Chinese. English summary) Zbl 1265.68059 J. Shenzhen Univ., Sci. Eng. 29, No. 2, 100-106 (2012). Summary: The common pattern method (CPM) is one of the excellent algorithms among the similarity image retrieval methods. However, the type-\(i\) rule used in CPM is unable to exactly distinguish the topological relationships between areas. By applying rectangle algebra to CPM, a novel similarity retrieval by rectangle algebra (SRRA) is proposed. The SRRA abstracts an object into a minimum bounding rectangle, uses rectangle algebra to express the 2D space relationship between objects, constructs similarity graphs based on rectangle algebra, and obtains a maximal set of similar objects. The experimental results show that the SRRA performs better than CPM with respect to the time consumed and the precision of the retrieved results. MSC: 68P20 Information storage and retrieval of data 68T10 Pattern recognition, speech recognition Keywords:data mining; image retrieval; rectangle algebra; pattern recognition PDFBibTeX XMLCite \textit{D. Liu} et al., J. Shenzhen Univ., Sci. Eng. 29, No. 2, 100--106 (2012; Zbl 1265.68059) Full Text: DOI