WSEAS Transactions on Information Science and Applications
Print ISSN: 1790-0832, E-ISSN: 2224-3402
Volume 15, 2018
Fractional Edge Detection Techniques for Radiographic Images based on Fuzzy Systems
Authors: , , , ,
Abstract: Medical images are a diagnostic technique that facilitates the doctor’s job the doctor to early diagnose the patient. So, fractional edge detection algorithms have gained focus of many researchers with the medical images. The fractional edge detection could be helped in the diagnosis of early stages of diseases like Alzheimer and fracture bone, but it can lose some edge details that can facilitate the doctor’s job the doctor in the diagnosis. In this paper, different fractional edge detection algorithms based on fuzzy logic have been used to enhance the performance of the edges as there is no loss in the fuzzy-based methods. A performance comparison has been done between different fractional edge detection algorithms with and without fuzzy logic. Evaluation of the noise performance upon addition of salt and pepper noise is measured through peak signal to noise ratio (PSNR) and bit error rate (BER) simulated by using MATLAB.
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Keywords: Edge Detection, Fractional Systems, Soft Computing Techniques, Radiographic, Fuzzy Systems, Medical Images
Pages: 147-154
WSEAS Transactions on Information Science and Applications, ISSN / E-ISSN: 1790-0832 / 2224-3402, Volume 15, 2018, Art. #18