关键词: 轮廓检测, 非经典感受野, 人眼微动, 初级视觉皮层

Abstract: Contour detection is one of the key steps in the field of target recognition. Human visual system has excellent ability to extract target contour from cluttered scenes by using inhibition properties that can suppress the responses of central neurons in primary visual cortex（V1 area）. According to this physiological properties, traditional models employ ring-formed area to modulate distance weighting. Based on previous studies, a model in consideration of eye movement mechanism is proposed. Different from other models, eight sub-templates are established with uniformly-spaced orientations to modulate the eye movement mechanism, fixed numbers setting in peripheral region. The final inhibition response is computed in competition with different responses of sub-template. Compared with previous studies, the proposed model has a better performance evaluation. Note that this model can retain more object contour and inhibit more textures.

Key words: contour detection, non-classical receptive field, eye movement, primary visual cortex