A Novel Approach for Edge Detection using Modified ACIES Filtering

Priya, P.Siva; Sarada, B.; Srinivas, G.; Eswar, P.
January 2014
International Journal on Recent Trends in Engineering & Technolo;Jan2014, Vol. 10 Issue 2, p212
Academic Journal
The most important humiliating attribute of an image is noise, which may become obvious during image capturing, communication or processing and may conceivably be reliant on or sovereign of image. In order to supplement the high- frequency components in this paper we are proposing a new class of filter called ACIES filter which implies spatial filter shape that has a high positive component at the centre. Since restraint of noise can only be achieved by smoothing the image. Sharpening with ACIES filter highlights the fine details of an image and enhances the clarity of the image at the boundaries. Experimental results show that the concert of the proposed ACIES filter is acceptable and Quality of the consequent images is remarkably well even under the strongly noise-corrupted conditions. If the edges in an image can be recognized specifically, then all the objects in the image can be located and basic properties such as region, edge, and contour can be measured. The performance of the proposed approach is measured with image quality metrics such as PSNR, MSE, NAE and NK.


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