A Review on: Comparision and Analysus of Edge Detection Techniques
نویسندگان
چکیده
The author has tried to compare the different edge detection techniques on real images in the presence of noise and then calculating the signal to noise ratio. Edge detection is a tool which is used in shape, colour, contrast detection, image segmentation and scene analysis etc. Edge detection of Image which provides the information related to the intensity changes at a point of an image. In this paper the comparison of various edge detection techniques and the visual performance analysis of the various techniques in noisy conditions is performed by using the different methods such as, Canny, LoG (Laplacian of Gaussian), Robert, Prewitt, Sobel, Laplacian and wavelet. These methods exhibit the different performance under such conditions respectively. Keywords—Edge detection, image processing.
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