Comparison of the Edge Detection Methods According to Fake Edge and Area Calculation Performances

Abstract

Determining the borders of the objects in the images and detection of the edges is an important step for image processing applications. In this study, the areas of different objects were calculated using edge detection methods. The edges of real-time images taken from the camera were detected with traditionally used Sobel, Prewitt and Canny filters. In addition, these filters were applied to the images obtained using Basic Global Thresholding (BGT) pre-processing and Mean Thresholding (MT) pre-processing to detect the edges in the image. After eliminating the fake edges in the edge images, the areas of the obtained images were calculated. The methods used in this paper were compared according to the fake edge and the area calculation performances.