A low-cost approach to real-time morphological edge detection

Real-time edge-based image detection is an important task in many image analysis operations. Morphological-based edge detection operators have been shown to be effective as well as being efficiently implementable in many image processing applications. In this paper, the concept behind the development of various morphological edge detection operators is briefly described. A new edge detector, based on combining separable median filtering and morphological operations, is introduced. The performance of the proposed edge detector is compared with some other edge detectors. A low-cost methodology for implementing the morphological edge detectors is presented