  Structure information is ubiquitous in natural scene images and it plays an
important role in scene representation. In this paper, third order structure
statistics (TOSS) and fourth order structure statistics (FOSS) are exploited to
encode higher order structure information. Afterwards, based on the radial and
normal slice of TOSS and FOSS, we propose the high order structure feature:
third order structure feature (TOSF) and fourth order structure feature (FOSF).
It is well known that scene images are well characterized by particular
arrangements of their local structures, we divide the scene image into the
non-overlapping sub-regions and compute the proposed higher order structural
features among them. Then a scene classification is performed by using SVM
classifier with these higher order structure features. The experimental results
show that higher order structure statistics can deliver image structure
information well and its spatial envelope has strong discriminative ability.
