计算机科学 ›› 2010, Vol. 37 ›› Issue (7): 287-290295.

• 图形图像 • 上一篇    下一篇

彩色图像球空间中改进DCNON分割算法的研究

闵玉堂,胡海,王芙蓉,陈田   

  1. (华中科技大学电子与信息工程系 武汉430074)
  • 出版日期:2018-12-01 发布日期:2018-12-01

Improved DCNON Segmentation Algorithm Research in Color Image Sphere Coordinate

MIN Yu-tang,HU Hai,WANG Fu-rong,CHEN Tian   

  • Online:2018-12-01 Published:2018-12-01

摘要: 提出一种基于改进振荡神经网络的彩色图像分割方法。该方法将彩色图像从RGl3的三维笛卡尔空间转换到球坐标空间,去除由光照和纹理引起的背景噪声,构成平滑的相位灰度图;将相位灰度图影射到动态藕合振荡神经网络的二维平面上;利用改进结构的算法对相位灰度图进行分割,得到稳定、快速和可靠的分割结果。

关键词: 图像分割,球空间,振荡神经网络,衍射检测

Abstract: This paper introducd a method of advanced dynamically coupled neural oscillator network based on color image segmentation. This method first converses RGB of color image from thre}dimensional Cartesian coordinates to spherical coordinates,aiming to remove background noise due to illumination and texture to generate smooth gray-level image of angle. Then, the advanced dynamically coupled neural oscillator network will do segmentation for the gray-level image of angle, to generate robust, fast and reliable segmentation.

Key words: Image segmentation, Sphere space, Oscillator neural network, Diffract detection

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