摘要: 交叉视觉皮层模型(ICM)在处理图像时,会因连接矩阵权值设置不当而产生错误。为此,提出一种新的连接矩阵设置方式,介绍基于交叉视觉皮层的边缘检测算法,确定神经元点火范围。将该算法应用于模糊医学图像的边缘提取中。实验结果表明,与其他边缘检测算法相比,该算法能够较好地提取模糊医学图像边缘,具有较高的精度。
关键词:
图像处理,
交叉视觉皮层模型,
边缘检测,
医学图像,
权值矩阵
Abstract: When Intersecting Cortical Model(ICM) processing the images, it generates errors for improper operation of connection matrix. A new set method for connection matrix is proposed. The edge detection algorithm based on ICM is introduced, which identifies the sparking scope of neuron. It is applied in edge extraction of fuzzy medical images. Experimental results show that, compared with other algorithms, it has higher accuracy and can extract fuzzy medical images edges better.
Key words:
image processing,
Intersecting Cortical Model(ICM),
edge detection,
medical image,
weight matrix
中图分类号:
李建锋, 饶伟栋. 基于交叉视觉皮层模型的边缘检测算法[J]. 计算机工程, 2011, 37(11): 28-30.
LI Jian-Feng, RAO Wei-Dong. Edge Detection Algorithm Based on Intersecting Cortical Model[J]. Computer Engineering, 2011, 37(11): 28-30.