A dendrone is a hierarchical thresholding structure that can be automatical
ly generated from a complex image. The dendrone structure captures the conn
ectedness of objects and subobjects during successive brightness thresholdi
ng, Based on connectedness and changes in intensity contours. dendronic rep
resentations of objects in images capture the coarse-to-fine unfolding of f
iner and finer detail, creating a unique signature for target objects that
is invariant to lighting, scale, and placement of the object within the ima
ge. Subdendrones within the hierarchy are recognizable as objects within th
e picture. Complex composite images san be autonomously analyzed to determi
ne if they contain the unique dendronic signatures of particular target obj
ects of interest. In this paper, we describe the initial design of the dend
ronic image characterization environment (DICE) for the generation of dendr
onic signatures from complex multiband remote imagery. By comparing subdend
rones within an image to dendronic signatures of target objects of interest
, DICE can be used to match/retrieve target features from a library of comp
osite images. The DICE framework can organize and support a number of alter
native object recognition and comparison techniques depending on the applic
ation domain. (C) 2001 John Wiley & Sons, Inc.