Improving boundary detection using variable resolution masks
Pattern Recognition Letters
Traffic object detections and its action analysis
Pattern Recognition Letters
Image segmentation by unsupervised sparse clustering
Pattern Recognition Letters
On change detection and displacement vector estimation in image sequences
Pattern Recognition Letters
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This paper describes a set of algorithms used to perform segmentation of natural scenes through boundary analysis. The techniques include preprocessing, differentiation using a very simple operator, relaxation using case analysis, and postprocessing. The system extracts line segments as connected sets of edges, labels them, and computes features for them such as length and confidence.