A Comparison of End-to-End Decision Forest Inference Pipelines
Hong Guan, Saif Masood, et al.
SoCC 2023
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.
Hong Guan, Saif Masood, et al.
SoCC 2023
Rei Odaira, Jose G. Castanos, et al.
IISWC 2013
Daniel Karl I. Weidele, Hendrik Strobelt, et al.
SysML 2019
Miao Guo, Yong Tao Pei, et al.
WCITS 2011