Performance Evaluation of Highpass Spatial Filters Using Measurement and Automation
This paper investigates the performance evaluation of high-pass spatial filters (Sobel, Prewitt, Roberts, Differentiation and Laplacian). The result has been compared on the basis of number of edges detected by filters applied on different images. The comparison results are also shown that Laplacian filter outperforms rest of the high-pass spatial filters. An edge is a significant change in the grayscale values between adjacent pixels in an image. Edges consist of mainly high frequency components. A spatial filter can be seen as a classifier that takes a decision whether a certain point belongs to the edge set or not.