Performance Evaluation of Prewitt Edge Detector for Noisy Images
Raman Maini, Jagdip Singh Sohal · 2006
Since edge detection is in the forefront of image processing for object detection, it is crucial to have a good understanding of edge detection algorithms. This paper evaluates the performance of Prewitt Edge Detector for detection of edges in digital images corrupted with different kinds of noise. Different kinds of noise are studied in order to evaluate the performance of the Prewitt Edge Detector. Further, the various standard test Images are examined to validate our results. The software is developed using MATLAB 7.0. 1 It has been observed that the Prewitt Edge Detector works effectively for the digital images corrupted with Poisson Noise where as its performances reduces sharply for other kinds of noise in digital images. The results of this study are quite promising.