A Resourceful Comparison of First Order Edge Detections Using Grayscale Intensities

Images are replications of real world objects. Processing those copies to get betterment of an image is called as image processing. Image processing can also be said as processing an image to enhance the quality and clarity of it. Image can be represented in the area of digital processing, which can be told as another reproduction of an object. In this proposed research work various first order edge detections are applied on an original image and also on fuzzy edge detected image. Then several measures are evaluated. Sobel, Prewitt and Roberts operators detects only the gray part with high intensity. Canny operator alone detects the entire gray part in the image. This shows that different edge detection technique detects the edges in gray part depending on the intensity values and the obtained result shows that Canny is the best edge detector because it detects edges of images with high as well as low intensity values.

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