A novel construction of a fractional derivative mask for image edge analysis
Publish place: Fourth National Conference on Applied Research in Electrical Engineering, Mechanics, Computer and Information Technology
Publish Year: 1397
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
EMCE04_331
تاریخ نمایه سازی: 21 خرداد 1398
Abstract:
In this paper, we present a new fractional mask based on the Prabhakar derivative for edge detection. In comparison with other fractional masks, more parameters are generated, hence, we have more degree of freedom and so, in general, we expect to see better results. We choose some selected well known synthetic images with realistic geometry in our experiments. The comparisons are computed based on the standard peak signal to noise ratio (PSNR) and mean square error (MSE).
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Authors
Afshin Babaei
University of Mazandaran, Babolsar, Iran;
Parisa Mousavi
Vali-e-Asr University Of Rafsanjan, Iran