ISSN : 1796-203X
Volume : 3    Issue : 9    Date : September 2008

Logarithmic Edge Detection with Applications
Karen A. Panetta, Eric J. Wharton, and Sos S. Agaian
Page(s): 11-19
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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