Comparative Study of Prewitt and Canny Edge Detector Using Image Processing Techniques

Medical image processing provides the information regarding the detection of brain tumor. Image processing techniques are used to find out the brain tumor with the help of various steps. The steps are image acquisition of MRI images, image preprocessing, image enhancement which improves the quality of image, feature extraction and classification. Edge detection is a process of classifying and perceiving shrill cutouts in an image. The disjointedness is unforeseen deviation in pixel strength gray-level value. Edge detection is an important technique in many image processing applications such as object recognition, motion analysis, pattern recognition and medical image processing. In this manuscript various edge detection techniques are discussed. This paper shows the comparison between Prewitt and Canny operators with various images to extract edge of objects in the images. Comparison of these edge detectors shows that Canny produced the sharpest images and produced the best continuity of the edge lines. Results also show that Canny produces sharpest and clear edge than Prewitt.

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