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An Efficient Orientation Detection Mechanism Inspired via Orientation-selective Amacrine Cells

As the most important sensory system in human body, the visual system provides the vast majority of the information that the brain obtains from external sources. An in-depth research of the visual system can effectively help us understand how the brain works. The orientation of an object is one of the important features of visual information, and the study on the orientation recognition function in the visual system is an extremely important guide to understanding the visual system. The existence of orientation-selective cells in the animal retina has been demonstrated, yet research on the specific working principles of these cells is still popular. In this paper, we propose an efficient orientation detection mechanism to simulate the function of orientation recognition cells in the retina, which may support new ideas for biological researchers. Grayscale datasets with different backgrounds and random-set objects are employed to evaluate the performance of the proposed mechanism. The experimental results demonstrate that the proposed mechanism can effectively detect the orientation of objects, which provides new possibilities to explain the working principle of the orientation-selective cells.