NDLI: An edge detection algorithm using a local distribution

Content Provider	IEEE Xplore Digital Library
Author	Ayatollahi, A. Rezazad, S.B.
Copyright Year	2003
Description	Author affiliation: Iran Univ. of Sci. & Technol., Tehran, Iran (Ayatollahi, A.; Rezazad, S.B.)
Abstract	The recently effective edge detection methods have computational complexity. In this paper, a new algorithm is proposed which is simple and fast. First, a set of points in an image is chosen which forms small squares. The value of each point is calculated using a low pass filter. The values of other points can be calculated by using the local linear distribution. It is possible that there is a curve corresponding to each level in any square. Therefore, for each level, one or more closed curves are formed in the full image. These curves are the edges of the image. Now, a set of levels must be chosen so that their corresponding curves produce the desired edges. If a larger number of levels are used, more details will be detected, otherwise only the objects will be recognized. This algorithm is easy to implement and very fast in execution, and can be used in a variety of applications such as normal edge detection, object detection, boundary detection and detecting objects as polygons, this assists in recognizing the shape and calculating the volume, gravity center and etc.
Starting Page	1183
Ending Page	1186
File Size	331541
Page Count	4
File Format	PDF
ISBN	0780377818
ISSN	08407789
DOI	10.1109/CCECE.2003.1226109
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-05-04
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image edge detection Object detection Image analysis Computational complexity Filters Shape Gravity Object recognition Image processing Pixel
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Hardware and Architecture

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