Published: 2014-06-11
ISBN: 978-91-7519-276-5
ISSN: 1650-3686 (print), 1650-3740 (online)
HLAC (Higher Order Local Autocorrelation) features are popular image descriptors that have been used for various image-processing applications since the 1980s. Examples of the application of the HLAC features include KANSEI retrievals and subjective retrievals of 2D image databases. In this paper; standard HLAC masks are extended for computing a massive number of features. Typical HLAC features are computed by applying 25 masks to a binary image; whereas our Ext-HLAC features are computed by applying 16;241;567 masks. Since there are a high number of mask combinations; we have developed Ext-HLAC mask generation software programs. Ext-HLAC masks were tested by using 2D benchmark image database sets. For each image; the pattern features were extracted by applying Ext-HLAC masks; and the pattern features were analyzed by a k-NN based approach. Our preliminary experiments show high classification rates for certain image databases.
Kato; T.; Kurita; T.; & Shimogaki; H. (1989). Multimedia interaction with image database systems;’ Proceedings of Advanced Database Systems Symposium 1989; (pp.271-278).
Kato; T. (1992). Database architecture for content-based image retrieval; Proc. SPIE 1662. Image Storage and Retrieval Systems; doi:10.1117/12.58497.
Kurita; T.; & Otsu; N. (1993). Texture classification by higher order local autocorrelation features; Proc. of Asian Conference on Computer Vision (ACCV’93); (pp.175-178).
Ojala; T.; Maenpaa; T.; Pietikainen; M.; Viertola; J.; Kyllonen; J.; & Huovinen; S.; (2001). Outex - new framework for empirical evaluation of texture analysis algorithms; International Conference on Pattern Recognition; (pp.701–706).
Otsu; N.; & Kurita; T. (1998). A new scheme for practical flexible and intelligent vision systems; Proceedings of the IAPR Workshop on Computer Vision; (pp.431-435).
Suzuki; M.T.; Yaginuma; Y.; Yamada; T.; & Shimizu; Y.; (2006). Shape Descriptors based on Extended 3D Higher Order Local Autocorrelation Masks; 2006 IEEE Mountain Workshop on Adaptive and Learning Systems (SMCals 2006); (pp138-143).
Toyoda; T.; & Hasegawa O. (2005). Texture Classification Using Extended Higher Order Local Autocorrelation Features; The 4th international workshop on texture analysis and synthesis; (pp.131-136).
