New Edge Detection Enhancement Method based on Cooperation between Edge Algorithms
Author(s) -
Ashraf Nijim,
Muhammad T. Abo Kresha,
Reda Abo Alez
Publication year - 2014
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/15896-5135
Subject(s) - computer science , enhanced data rates for gsm evolution , algorithm , artificial intelligence
detection algorithms are important tools in image processing applications for carrying out much information and being relatively easy to produce. Sobel; Canny; and logarithmic algorithms (1) are among several edge detection algorithms used frequently nowadays. The evalution of such edge detection algorithms is an old problem. Authors (1)(3) tend to use visual evaluation that limits the comparison between different edge images. In this paper, we present a new edge enhancement method and five different measures that can be used to statistically evaluate edge detection algorithms. The new edge enhancement method is based on cooperation between different edge detection algorithms. The new edge preserves the advantages of each edge image. Experimental results using two edge detection algorithms proved the efficiency of this method.
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