Abstract
This review provides an overview of the literature on the edge detection methods for pattern recognition that inspire from the understanding of human vision. We note that edge detection is one of the most fundamental processes within the low level vision and provides the basis for the higher level visual intelligence in primates. The recognition of the patterns within the images relates closely to the spatiotemporal processes of edge formations, and its implementation needs a cross-disciplinary approach in neuroscience, computing and pattern recognition. In this review, the edge detectors are grouped in as edge features, gradients and sketch models, and some example applications are provided for reference. We note a significant increase in the amount of published research in the last decade that utilises edge features in a wide range of problems in computer vision and image understanding having a direct implication to pattern recognition with images.