Title:	NONSUBSAMPLED CONTOURLET TRANSFORM FOR GREY-LEVEL CORNER DETECTION
Author(s):	Chahira Serief
ISBN:	978-972-8939-22-9
Editors:	Yingcai Xiao, Tomaz Amon and Piet Kommers
Year:	2010
Edition:	Single
Keywords:	Corner detection; nonsubsampled contourlet transform.
Type:	Short Paper
First Page:	423
Last Page:	427
Language:	English
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Paper Abstract:	In this paper, a new corner detection method for grey-level images is proposed. This new approach exploits the nonsubsampled contourlet transform, NSCT, to capture significant 2-D image point features across spatial and directional resolutions. It is based on scale-interaction model. The comparative evaluation against two well-known corner detectors clearly indicates the improved performance of the proposed method in terms of the following criteria: detection, localization and computational cost. This confirms the success of using the NSCT transform for corner detection.
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