摘要
为提高分割速度、改善分割效果,从两方面进行改进:首先对传统的快速水平集分割进行改进,得到基于CV模型的快速水平集;其次,通过引入HSI空间中的彩色差概念,建立一种新的、尤其适合彩色图像的快速水平集分割方法。实验表明,新提出的基于HSI彩色差的快速水平集分割方法,对彩色图像具有良好的分割效果。与传统水平集分割相比,新方法在分割性能和运算时间两方面均有明显提高。
To get better segmentation effect in shorter time, this paper improved the algorithm in two aspects. Firstly, it put forward a CV-based fast level-set method on the basis of the traditional fast level-set method. Secondly,it presented a new fast level-set method which was especially suitable for color image segmentation by introducing the color difference in HSI color space into the CV-based fast level-set method. Experimental results show that this method has good segmentation effect and shorter running time for color images. The new method proposed in this paper improves greatly in performance and running time compared with the old ones.
出处
《计算机应用研究》
CSCD
北大核心
2012年第3期1135-1137,共3页
Application Research of Computers
基金
基于光多相干
多普勒和超高速CCD神经-血管偶联机制研究资助项目(30770685)
国家科技部支撑计划重点资助项目(2009BAB47B06)
关键词
CV模型
快速水平集
彩色图像分割
HSI空间
彩色差
CV model
fast level-set method
color image segmentation
HSI color space
color difference
