视觉系统主要是通过简单视觉皮层区域对外部光线传感图形图像进行轮廓线融合的.视觉皮层区域由神经组织连接的各种几何形状已在数学形式上面描述为旋转式平移连续空间,也近似于形态学图形图像的逻辑模式和可视化过程,在这项研究的基础上,用于处理基于视觉神经中二维几何结构图像的仿真方法被提出.输入的图形图像首先被转化成三维旋转式平移空间,然后用螺旋结构将图像空间中的元素转变成数学形态学进行元素属性分析,以模仿初级视觉皮层中的神经处理过程和效果.最后,输出图像被投射到二维笛卡尔空间.这种方法的应用程序提出了如何产生完整的轮廓和带有阴影的图形图像问题.%The visual system is mainly through simple visual cortex area of the external light sensing graph-ic image contour integration. Various geometric shapes of visual cortical areas connected by the nervous tissue has been described above in the form of a rotary pan mathe-matics continuous space, similar to the morphology of the logic model graphic images and visualization process, on the basis of this study, for process simulation visual nerve in image-based two-dimensional geometry is proposed. Graphic image input is first converted into three-dimensional space of the rotary pan, and then converting the image space spi-ral structure of the elements into a mathematical morpholo-gy elemental attribute analysis, to mimic the primary visual cortex neural processes and results. Finally, the output image is projected onto a two-dimensional Cartesian space. Application of this method is the question of how to gener-ate a complete outline and shaded graphics image problems.
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