MEDICAL IMAGE SEGMENTATION BASED ON IMPROVED WATERSHED ALGORITHM

被引：0
|
作者：
Li Jing-Yu [1 ]
Jin Cheng [1 ]
Mu Wei-Bin [1 ]
Geng Kui [1 ]
Zhang Yan
机构：
[1] Qiqihar Med Univ, Dept Med Technol Inst, Qiqihar 161006, Peoples R China
来源：
2011 INTERNATIONAL CONFERENCE ON COMPUTER AND COMPUTATIONAL INTELLIGENCE (ICCCI 2011) | 2012年
关键词：
Image Segmentation; Watershed Algorithm; Morphology;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Image segmentation is a fundamental problem in image processing, the traditional watershed image segmentation algorithm has a simple, intuitive, and many other advantages, however, there are over-segmentation, great impact of noise and difficulty for image pre-processing problems etc. so that propose an improved algorithm based on morphological reconstruction,which can solve the noise problem and the reducing difficulty of pre-treatment and improve the segmentation results. In the traditional watershed algorithm, apply a faster sorting algorithm, a reasonable course of treatment uncertainties in flood, it is quick and effective for image segmentation. Experiments show that the algorithm can effectively eliminate the phenomenon of over-segmentation, and good to improve the computing speed and accuracy for watershed algorithm.
引用
收藏
页码：475 / 481
页数：7
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