摘要
20世纪90年代发展起来的新一代神经网络——脉冲耦合神经网络(PCNN)模型特别适合于图像处理的各个方面,但是它一直只应用于灰度图像的处理上。有鉴于此,论文对PCNN在彩色图像分割上的应用进行了研究,将彩色图像空间变换成三个相互独立的分量,分别应用PCNN在灰度图像上已有的成熟的方法,得到了彩色图像的边缘信息,从而达到了彩色图像分割的效果。
A new kind of network,PCNN model,which has been developed since the 1990s,is especially suitable for image processing.However,up to now it has only been used in the processing of gray images.In this paper,the use of PCNN in the color image is researched.Color space is divided into 3 independent components and then PCNN is used to process each component as if it were used to the gray image.Through the above method the edge infomation can be obtained,and in the end achieve the image segmentation effect.
出处
《计算机工程与应用》
CSCD
北大核心
2005年第27期48-50,共3页
Computer Engineering and Applications
作者简介
鲍晴峰（1980-）,硕士生,研究方向：图像处理,模式识别.王继成（1958-）,研究员,博士生导师,研究方向：图像处理,模式识别.
