计算机科学 ›› 2010, Vol. 37 ›› Issue (7): 287-290295.
• 图形图像 • 上一篇 下一篇
闵玉堂,胡海,王芙蓉,陈田
出版日期:
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MIN Yu-tang,HU Hai,WANG Fu-rong,CHEN Tian
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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
闵玉堂,胡海,王芙蓉,陈田. 彩色图像球空间中改进DCNON分割算法的研究[J]. 计算机科学, 2010, 37(7): 287-290295. https://doi.org/
MIN Yu-tang,HU Hai,WANG Fu-rong,CHEN Tian. Improved DCNON Segmentation Algorithm Research in Color Image Sphere Coordinate[J]. Computer Science, 2010, 37(7): 287-290295. https://doi.org/
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