Latest revision as of 21:17, 26 September 2024

Abstract

Machine vision is still a challenging topic and attracts many researchers to research in this field. The main difference between machine vision and human vision is that, machine can see images as a set of pixels, while human can used cognitive capabilities in identifying the contents of the image. Attention is one of the important properties of Human Vision System, with which the human can focus only on part of the scene at a time; scenes with more abrupt features shall attract human attention more than other regions. In this paper, we shall simulate the human attention and discuss its application in machine vision and how it will improve the result of the retrieval process and image identification and understanding. Artificial intelligence shall be used in the proposed algorithm to cluster the salient points that were obtained either from eye trackers or from saliency extraction techniques.

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