An Edge Detection Algorithm for Online Image Analysis

被引：0
|
作者：
Sleit, Azzam [1 ]
Abu Dalhoum, Abdel Latif [1 ]
Al-Dhamari, Ibraheem [1 ]
Tareef, Afaf [1 ]
机构：
[1] Univ Jordan, King Abdulla Sch Informat Technol 2, Dept Comp Sci, Amman, Jordan
来源：
PROCEEDINGS OF THE AMERICAN CONFERENCE ON APPLIED MATHEMATICS: RECENT ADVANCES IN APPLIED MATHEMATICS | 2009年
关键词：
Edge detection; Canny's edge detector; Sobel's edge detector; Wavelet transforms; Derivative operators;
D O I：
暂无
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
Online image analysis is used in a wide variety of applications. Edge detection is a fundamental tool used to obtain features of objects as a prerequisite step to object segmentation. This paper presents a simple and relatively fast online edge detection algorithm based on second derivative. The proposed edge detector is less sensitive to noise and may be applied on color, gray and binary images without preprocessing requirements. The merits of the algorithm are demonstrated by comparison with Canny's and Sobel's edge detectors.
引用
收藏
页码：250 / +
页数：2
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