A crucial aspect of shape similarity estimation is the identification of pe
rceptually significant image elements. in order to understand more about th
e process of human segmentation of abstract images, a sample of 63 trademar
k images was shown to several groups of students in two experiments. Studen
ts were first presented with printed versions of a number of abstract trade
mark images, and invited to sketch their preferred segmentation of each ima
ge. A second group of students was then shown each image, plus its set of a
lternative segmentations, and invited to rank each alternative in order of
preference. Our results suggest that most participants used a relatively sm
all number of segmentation strategies, reflecting well-known psychological
principles. Agreement between human image segmentations and those generated
by the ARTISAN trademark retrieval system was quite limited; the most comm
on causes of discrepancy were failure to handle texture and incorrect group
ing of components into regions. Ways of improving ARTISAN's ability to mode
l human segmentation behavior are discussed. (C) 2000 SPIE and IS&T. [S1017
-9909(00)00104-5].