A COMPARISON OF EDGE DETECTION METHODS USING CANNY, PREWITT AND SOBEL METHODS ON FISH IMAGE

Ida Hastuti

Ida Hastuti Politeknik Negeri Banjarmasin

Keywords: Edge Detection, fish image, CBIR

Abstract

Digital image processing is optimized image quality improvement for the purpose of analysis an image with computer. To get the image with the acquisition process image aimed at determining the necessary data and choose the method of recording digital images. The results of image acquisition do edge detection process. Mechanical edge detection in digital image processing is used to determine the location on the edge of the object point. Objects in this study using fish image.

In the process the fish image using anisotropic diffusion filter and median filter to regulate iteration and constant as constan flow. Result process filter fish image edge detection. Method of which is used for detecting the outline of Canny, prewitt and Sobel.method. The accuracy of the content based image retrieval at the distance value query that results canny edge detection gain a better edge detection prewitt 75.39% compared to 76.09% and 74.67% Sobel.

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