应用科学学报 ›› 2009, Vol. 27 ›› Issue (3): 247-252.

• 信号与信息处理 • 上一篇    下一篇

视觉机制模拟中的局部参数自组织映射方法

马煜,顾晓东,汪源源   

  1. 复旦大学 电子工程系,上海  200433
  • 收稿日期:2009-03-19 修回日期:2009-04-17 出版日期:2009-05-28 发布日期:2009-05-28
  • 作者简介:马煜,博士生,研究方向:图像处理、机器视觉,E-mail:mayu82@163.com;汪源源,教授,博导,研究方向:医学超声工程和医学信号、图像处理等,E-mail: yywang@fudan.edu.cn
  • 基金资助:
    国家“973”重点基础研究发展计划基金(No.2005CB724303);国家自然科学基金(No.60671062)资助项目

Self-Organizing Map of Local Parameters for Visual Mechanism Simulation

  1. Department of Electronic Engineering, Fudan University,Shanghai 200433, China
  • Received:2009-03-19 Revised:2009-04-17 Online:2009-05-28 Published:2009-05-28

摘要:

       为模拟视觉系统对彩色场景进行初步处理的机制,提出一种局部参数自组织映射方法. 以局部颜色均值、局部颜色对比度以及位置作为特征,用自组织映射进行分类,实现图像分割、边缘检测和轮廓分离等功能. 对仿真及自然彩色图像的实验结果表明,该方法能并行实现上述功能,将具有不同类型特征的部分映射到输出空间的不同位置,符合视觉系统的特征映射和并行处理的特性. 该方法为研究和模拟视觉系统的机制提供了参考,也可用于图像处理中的多任务并行处理.

关键词: 视觉机制模拟 , 自组织映射 , 图像分割 , 边缘检测 , 轮廓分离

Abstract:



       A self-organizing map of local parameters is proposed to simulate the initial visual processing mechanism for color scenes. The method employs local color mean values, local color contrasts, and positions as features, and uses a self-organizing map for classification to deal with multiple tasks such as image segmentation, edge detection, and contour separation. Experimental results for both synthetic and natural color images show that the method can perform these tasks simultaneously. It maps image parts with different features to different positions of the output space, conforming to the feature mapping and simultaneously processing characteristics of the visual system. This method can be used to investigate and simulate visual mechanisms, and handle multiple image processing tasks.

Key words: visual mechanism simulation , self-organizing map , image segmentation, edge detection , contour separation

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