| 基于人工视网膜神经节细胞感受野的图像边缘检测 |
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| 引用本文： | 张志广 杨俭华. 基于人工视网膜神经节细胞感受野的图像边缘检测[J]. 北京生物医学工程, 1996, 15(3): 129-132 |
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| 作者姓名： | 张志广 杨俭华 |
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| 作者单位： | 首都师范大学生物信息科学研究所 |
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| 摘 要： | 用光电池组装一个工感受野，在一维上模拟视网膜神经节细胞的零交叉滤波特性，进一步用该工工感受野构建一个图像边缘检测系统，并成功地用系统检测到图像边缘。一与般的基于视觉原理的图像系统相比，这种以人工感受野灵基础的系统，在图像输入的同时即可并行地提取图像边缘信息，而更接近于动物视觉系统原型，此结果将为人工视觉和图像技术的发展提供新的探索。
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| 关 键 词： | 感受野 人工视觉 视觉模拟 图像技术 |
Image Edge Detection Based on Artificial Retina Ganglion Cell Receptive Field |
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| Zhang Zhiguang, Yang Jianhua, Wang Guangyu, Hao Huiying, Lin Shuhuang. Image Edge Detection Based on Artificial Retina Ganglion Cell Receptive Field[J]. Beijing Biomedical Engineering, 1996, 15(3): 129-132 |
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| Authors: | Zhang Zhiguang Yang Jianhua Wang Guangyu Hao Huiying Lin Shuhuang |
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| Abstract: | Silicon photocells were used to make an artificial 1-D ganglion cell receptive field,characterized as a Zero-crossing filter. The artificial receptive field was further applied to construct the image system and had detected successfully image edge. Uulike general image system, based on artificial receptive field, this image system can extract edge information simultaneously when the image was being input. It was close to animal visual system. The results will be helpful to the developmeut of new artificial vision and image technology. |
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| Keywords: | Receptive field Artificial vision Visual simulation Image technology |
| 本文献已被 CNKI 维普 等数据库收录！ |
