The Evolution of Our Assumptions of Human Vision and Its Impact on the Development of Machine Vision

Abstract

Machine vision holds a promising future in reference to its varied daily application and level of accuracy. This technology has helped various sectors to gained advanced growth and improvements in service delivery. However, there is still a need for further studies into how much this field of computing replicates how human beings perceive the world. Such studies can involve more than just covering the gap between human vision and machine vision. This research paper aims to fill this gap by highlighting the relationship between human vision and machine vision, exploring the evolution of the assumption of human vision. It traces the impact of this evolution on the field of machine vision. It provides a comparison on the human- derivative models of vision machines which has been termed with colour spaces. It uses MATLAB to illustrate the differences among various colour spaces. Further, this research examines the importance of continually improving the effectiveness of machine vision were explored. This part of the research is divided into two sections. The first section uses the previous discussion to provide several possible potential projects and area of improvement in the field of machine vision. The second section examines the question of continuity in relation to the philosophical perspective of sense perception.