Abstract
Edge characterizes boundaries. If the edges of images could be identified accurately, all of the objects can be located and basic parameters such as area, perimeter and shape can be measured. This paper proposes fusion of Haar wavelet and Prewitt operator and compares its performance with frequently used gradient edge detection algorithms and canny edge detection method in different conditions. Canny edge detection algorithm is implemented with adaptive parameters. Software programs for all edge detectors are developed in visual C#.net. It has been shown that canny edge detection algorithm with adaptive parameters performs better in almost all conditions in comparison to other operators in the expense of its execution time.
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