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
相关论文
共 50 条
  • [1] Medical image segmentation based on improved watershed algorithm
    Shen, Tongping
    Wang, Yuanmao
    PROCEEDINGS OF 2018 IEEE 3RD ADVANCED INFORMATION TECHNOLOGY, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IAEAC 2018), 2018, : 1695 - 1698
  • [2] Image segmentation algorithm based on the improved watershed algorithm
    Sun, Huijie
    Deng, Tingquan
    Li, Yanchao
    Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University, 2014, 35 (07): : 857 - 864
  • [3] An applied research on improved watershed algorithm in medical image segmentation
    Hai, Ben Zhai
    Xie, Rui Yun
    Yuan, Pei Yan
    International Journal of Signal Processing, Image Processing and Pattern Recognition, 2016, 9 (11): : 191 - 198
  • [4] Cell Image Segmentation Based on an Improved Watershed Algorithm
    Ji, Xiaoqiang
    Li, Yang
    Cheng, Jiezhang
    Yu, Yuanhua
    Wang, Meijiao
    2015 8TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP), 2015, : 433 - 437
  • [5] An Improved Image Segmentation Algorithm Based on The Watershed Transform
    Cui, Xuemei
    Yang, Guowei
    Deng, Yan
    Wu, Shaolong
    2014 IEEE 7TH JOINT INTERNATIONAL INFORMATION TECHNOLOGY AND ARTIFICIAL INTELLIGENCE CONFERENCE (ITAIC), 2014, : 428 - 431
  • [6] An improved watershed algorithm for image segmentation
    Wu, Wenhong
    Niu, Hengmao
    Computer Modelling and New Technologies, 2014, 18 (11): : 426 - 431
  • [7] Medical ultrasound image segmentation Based on improved watershed scheme
    Li, Liang
    Fu, Yingxia
    Bai, Peirui
    Mao, Wenjie
    2009 3RD INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICAL ENGINEERING, VOLS 1-11, 2009, : 2166 - +
  • [8] Brain CT Image Segmentation Based on Improved Watershed Algorithm
    Jiang Wenjuan
    Xu Dong
    Li Fuyun
    2019 15TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY (CIS 2019), 2019, : 332 - 335
  • [9] Bridge Crack Image Segmentation Based on Improved Watershed Algorithm
    Zhang, Liang
    Luo, Wenguang
    Xu, Yani
    PROCEEDINGS OF THE 30TH CHINESE CONTROL AND DECISION CONFERENCE (2018 CCDC), 2018, : 3537 - 3541
  • [10] Medical image segmentation based on wavelet transformation and watershed algorithm
    Zhang, Jun
    Fan, Jiulun
    2006 IEEE INTERNATIONAL CONFERENCE ON INFORMATION ACQUISITION, VOLS 1 AND 2, CONFERENCE PROCEEDINGS, 2006, : 484 - 488
12345