Saurabh Paul, Christos Boutsidis, et al.
JMLR
The theory of Latin Square experimental designs is extended to edge detection of multi-grey level pictorial data. Latin Square designs are realized using mask operations either as a square or in linear forms using ANOVA to estimate the model parameters. The test statistics are based upon the robust F-test and the thresholds are selected by an empirical interactive process. A post hoc comparison method is used to confine the edge element ambiguities to 2-pixel layer thickness in masks greater than 2 × 2 × k. Computer simulations are shown to verify the theory. © 1979.
Saurabh Paul, Christos Boutsidis, et al.
JMLR
Gaku Yamamoto, Hideki Tai, et al.
AAMAS 2008
Daniel Karl I. Weidele, Hendrik Strobelt, et al.
SysML 2019
P.C. Yue, C.K. Wong
Journal of the ACM