Dwiretno Istiyadi Swasono
(Staf pengajar Program Studi Sistem Informasi, Universitas Jember).
ABSTRACT: Edge detection method utilize difference graylevel difference between the adjacent pixels image. As known that the edge of the image shows the difference in composition of red, green and blue (RGB) between pixels. For color images need to be converted first into grayscale image. Then for each pixel was calculated difference graylevel with 4 neighbors. A threshold value was chosen to determine the next value of the graylevel. If one of the differences of graylevel with four neighbors is less than the threshold value then the pixel is given the value graylevel 0. If larger then the pixel is given the value graylevel 255. By applying this method to the entire pixel image the new binary image will be created. By varying the threshold value it will get different results and can be adjusted as desired. The advantages of this method is quite simple and is able to remove noise dots that are not needed that often arise when using conventional edge detection methods such as method of Sobel, Prewitt, or Robert.
Keywords: edge detection, difference method, grayscale, threshold value
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