  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 process
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
relate closely to the spatiotemporal processes of edge formations, and its
implementation needs a crossdisciplanry 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 utilizes edge features in a wide
range of problems in computer vision and image understanding having a direct
implication to pattern recognition with images.
