Robust and Efficient Detection of Salient Convex Groups
IEEE Transactions on Pattern Analysis and Machine Intelligence
Alternative area-perimeter ratios for measurement of 2D shape compactness of habitats
Applied Mathematics and Computation
Measuring Convexity for Figure/Ground Separation
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Rectilinearity Measurements for Polygons
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Straightness of Digital Arcs
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape partitioning by convexity
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Shape reasoning on mis-segmented and mis-labeled objects using approximated Fisher criterion
Computers and Graphics
Measuring the orientability of shapes
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Proposing a new code by considering pieces of discrete straight lines in contour shapes
Journal of Visual Communication and Image Representation
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Two new methods for computing the rectilinearity of polygons are presented. They provide shape measures and estimates of canonical orientations which can be used in applications such as shape retrieval, object classification, image segmentation, etc. Examples are presented demonstrating their use in skew correction of scanned documents, deprojection of aerial photographs of buildings, and scale selection for curve simplification. Furthermore, testing has been carried out on synthetic data and with human subjects to verify that the measures do indeed produce perceptually meaningful results.