Comparative Study of Edge Detection Algorithm Techniques with Positive and Negative Details

Abstract

: Edge is a very common feature of an image. Two different region in an image is connected by the edges. Edge detection process significantly reduces the amount of data and filters out useless information and while preserving the essential structural properties in an image. It has been shown that the Canny’s edge detection algorithm performs better from all operators. Evaluation of the images showed that under noisy situations Canny, LoG( Laplacian of Gaussian), Robert, Prewitt, Sobel doing well respectively. It has been observed that Canny’s edge detection algorithm is computationally more expensive compared to LoG( Laplacian of Gaussian), Sobel, Prewitt and Robert’s operator.