Analisis Dual-Threshold Deteksi Tepi Canny dengan Bilateral Filtering dan Bowstring-Based

Abstract

Edge detection is one of the most important things in image processing. Canny edge detection operator is one of the most excellent edge detection. There are four basic stages in that canny edge detection filtering, determine the value of the gradient, pressure gradient value and connect each edge of the image. To increase the yield of canny edge detection on the image used bilateral filtering method and bowstring based. Bilateral filtering can replace the value of x in the pixel image with value - average equal and adjacent to the pixel, while the bowstring-based has one advantage that it does not contain optimal search so lower processing complexity. Bilateral filtering is used to reduce noise and bowstring-based used for the calculation of the dual-threshold canny edge detection. The image used in this study is an image with the file extension * .bmp. in this study testing is done with an image resolution of differents. The results of the three tests that have been done that with bilateral and bowstring-based filtering can produce dual-threshold value is better than the canny edge detection classics.