Volume 3 Number 9 (Sep. 2008)
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JCP 2008 Vol.3(9): 11-19 ISSN: 1796-203X
doi: 10.4304/jcp.3.9.11-19

Logarithmic Edge Detection with Applications

Karen A. Panetta1, Eric J. Wharton1, Sos S. Agaian2
1Tufts University, Medford, MA, United States
2The University of Texas at San Antonio, San Antonio, TX, United States

Abstract—In real world machine vision problems, numerous issues such as variable scene illumination make edge and object detection difficult. There exists no universal edge detection method which works well under all conditions. In this paper, we propose a logarithmic edge detection method based on Parameterized Logarithmic Image Processing (PLIP) and a four-directional Sobel method, achieving a higher level of independence from scene illumination. We present experimental results for this method, and compare results of the algorithms against several leading edge detection methods, such as Sobel and Canny. To compare results objectively, we use Pratt’s Figure of Merit. We demonstrate the application of the algorithm in conjunction with Edge Preserving Contrast Enhancement (EPCE), which is an image enhancement method dependent on the raw output of an edge detection kernel. This shows that the use of this edge detection algorithm results in better image enhancement, as quantified by the Logarithmic AME.

Index Terms—Parameterized Logarithmic Image Processing, Edge Detection, Image Enhancement, Measure of Enhancement


Cite: Karen A. Panetta, Eric J. Wharton, Sos S. Agaian, "Logarithmic Edge Detection with Applications," Journal of Computers vol. 3, no. 9, pp. 11-19 , 2008.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat,etc
E-mail: jcp@iap.org
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