Ronald Fagin
Journal of the ACM
This article considers the image processing problem of texture recognition. It is shown that a chi-square test based upon a two-dimensional autoregressive model can be derived and can be used to test for differences between certain types of micro-textures. The chi-square test cannot be used with macro-textures, and another autoregressive-based distance measure is derived which is more suitable for these cases. It is shown experimentally that this distance measure affords a reliable means of classifying a broad class of micro- and macro-textures using a nearest-neighbour type of approach. © 1982.
Ronald Fagin
Journal of the ACM
Rakesh Mohan, Ramakant Nevatia
IEEE Transactions on Pattern Analysis and Machine Intelligence
Hironori Takeuchi, Tetsuya Nasukawa, et al.
Transactions of the Japanese Society for Artificial Intelligence
Yehuda Naveli, Michal Rimon, et al.
AAAI/IAAI 2006