Segmentation of holographic images using the level set method

被引：5
|
作者：
Zhang, Pin [1 ]
Li, Rong [1 ]
Li, Jun [1 ]
机构：
[1] S China Normal Univ, Sch Phys, Guangzhou 510006, Guangdong, Peoples R China
来源：
OPTIK | 2012年 / 123卷 / 02期
关键词：
Digital holography; Zero-order diffraction; Rough segmentation; Level set;
D O I：
10.1016/j.ijleo.2011.02.023
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
Image segmentation, which is to distinguish objects from background, has played an important role in holographic image processing. In this work, we propose a technique that uses the combination of rough segmentation and the level set methods for segmentation of holographic images with zero-order diffraction interference. To improve the image quality, we eliminate the interference of zero-order diffraction in digital holography using Sobel differential gradient algorithm based on digital image processing. After reconstruction, the rough segmentation including intensity transformations and Morphology methods is applied to acquire the rough contour of the reconstruction image. Finally, we adopt level set methods to smooth the object contour and improve its accuracy. Segmentation results for objects in holographic images are presented. (C) 2011 Elsevier GmbH. All rights reserved.
引用
收藏
页码：132 / 136
页数：5
相关论文
共 50 条
  • [21] Automatic water segmentation method in SAR images using multi-scale level set
    Xu, Chuan
    Hua, Feng
    Sui, Haigang
    Chen, Guang
    Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University, 2013, 39 (01): : 27 - 31
  • [22] Automatic Segmentation of Leishmania Parasite in Microscopic Images Using a Modified CV Level Set Method
    Farahi, Maria
    Rabbani, Hossein
    Talebi, Ardeshir
    Sarrafzadeh, Omid
    Ensafi, Shahab
    SEVENTH INTERNATIONAL CONFERENCE ON GRAPHIC AND IMAGE PROCESSING (ICGIP 2015), 2015, 9817
  • [23] Segmentation of Scalp and Skull in Neonatal MR Images Using Probabilistic Atlas and Level Set Method
    Ghadimi, S.
    Abrishami-Moghaddam, H.
    Kazemi, K.
    Grebe, R.
    Goundry-Jouet, C.
    Wallois, F.
    2008 30TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-8, 2008, : 3060 - +
  • [24] Inhomogeneous Brain Magnetic Resonance Images Segmentation Using a Novel Double Level Set Method
    Song, Jianhua
    Li, Shuqin
    JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS, 2020, 10 (10) : 2452 - 2458
  • [25] A Novel Hybrid Segmentation Method for Medical Images Based on Level Set
    Wang, Gang
    Liu, Huijuan
    Zhang, Shi
    Liang, Jianming
    PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOLS 1-9, 2009, : 1656 - 1660
  • [26] A VARIATIONAL LEVEL SET METHOD OF MULTIPHASE SEGMENTATION FOR PIECEWISE SMOOTH IMAGES
    Yao, Jun-Sheng
    Pan, Zhen-Kuan
    Wei, Wei-Bo
    Li, Hua
    Huang, Jian-Guo
    PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-6, 2009, : 1677 - +
  • [27] Segmentation of Skin Lesions Using Level Set Method
    Ma, Zhen
    Tavares, Joao Manuel R. S.
    COMPUTATIONAL MODELING OF OBJECTS PRESENTED IN IMAGES: FUNDAMENTALS, METHODS, AND APPLICATIONS, 2014, 8641 : 228 - 233
  • [28] PIPELINE SEGMENTATION USING LEVEL-SET METHOD
    Leangaramkul, A.
    Kasetkasem, T.
    Tipsuwan, Y.
    Isshiki, T.
    Chanwimaluang, T.
    Hoonsuwan, P.
    2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), 2019, : 3880 - 3883
  • [29] Iris segmentation using variational level set method
    Roy, Kaushik
    Bhattacharya, Prabir
    Suen, Ching Y.
    OPTICS AND LASERS IN ENGINEERING, 2011, 49 (04) : 578 - 588
  • [30] An automatic method for fast and accurate liver segmentation in CT images using a shape detection level set method
    Lee, Jeongjin
    Kim, Namkug
    Lee, Ho
    Seo, Joon Beom
    Won, Hyung Jin
    Shin, Yong Moon
    Shin, Yeong Gil
    MEDICAL IMAGING 2007: IMAGE PROCESSING, PTS 1-3, 2007, 6512
12345