NDLI: Morphological scale-space using generalized zero-crossings as feature points

Content Provider	IEEE Xplore Digital Library
Author	Kyeong-Ryeol Park Chung-Nim Lee
Copyright Year	1994
Description	Author affiliation: Dept. of Math., Pohang Univ. of Sci. & Technol., South Korea (Kyeong-Ryeol Park)
Abstract	We prove that the scale-space of a 1D gray-scale signal based on morphological filtering satisfies the causality (no new feature points are created as scale gets larger). We refine the standard definition of zero-crossing so as to allow signals with certain discontinuity, and use them to define feature points. This new definition of zero-crossing agrees with the standard one in the case of functions with second order derivative. The previous work by Chen-Yan (1989) used an inappropriate definition of feature points, which led them to an incorrect proof of the causality. Our causality results does not apply to a more general 2D gray scale image. Causality results on the standard morphological blurring, obtained as byproduct, are also included.
Starting Page	159
Ending Page	163
File Size	431130
Page Count	5
File Format	PDF
ISBN	0818662751
DOI	10.1109/ICPR.1994.577146
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-10-09
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Gray-scale Kernel Mathematics Object recognition Character generation Signal generators Fingerprint recognition Convolution Laplace equations Shape
Content Type	Text
Resource Type	Article

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Morphological scale-space using generalized zero-crossings as feature points