title: Multiple paths extraction in images using a constrained expanded trellis.
abstract: Single shortest path extraction algorithms have been used in a number of areas such as network flow and image analysis. In image analysis, shortest path techniques can be used for object boundary detection, crack detection, or stereo disparity estimation. Sometimes one needs to find multiple paths as opposed to a single path in a network or an image where the paths must satisfy certain constraints. In this paper, we propose a new algorithm to extract multiple paths simultaneously within an image using a constrained expanded trellis (CET) for feature extraction and object segmentation. We also give a number of application examples for our multiple paths extraction algorithm.
authors.affiliation: CSIRO Mathematical and Information Sciences, Locked Bag 17, North Ryde, NSW 1670, Australia. changming.sun@csiro.au
authors.forename: Changming
authors.initials: C
authors.lastname: Sun
authors.forename: Ben
authors.initials: B
authors.lastname: Appleton
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods; D016247:Information Storage and Retrieval / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*