Using active contours and mathematical morphology tools for quantification of immunohistochemical images

被引：19
|
作者：
Elmoataz, A
Schüpp, S
Clouard, R
Herlin, P
Bloyet, D
机构：
[1] Inst Sci Mat & Rayonnement, GREYC, CNRS, UPRESA 6072, F-14050 Caen, France
[2] Ctr Francois Baclesse, Anat Pathol Lab, F-14021 Caen, France
来源：
SIGNAL PROCESSING | 1998年 / 71卷 / 02期
关键词：
Active contours; Mathematical morphology; Medical images; Segmentation;
D O I：
10.1016/S0165-1684(98)00146-7
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
An image segmentation method is proposed, which combines mathematical morphology tools and active contours in two stages. First, contours are coarsely approximated by means of morphological operators. Second, these initial contours evolve under the influence of geometric and grey-level information, owing to the model of active contours. The performance of the method is evaluated according to the noise and is compared to the watershed algorithm. Then an application is finally presented for biomedical images of tumour tissue. (C) 1998 Elsevier Science B.V. All rights reserved.
引用
收藏
页码：215 / 226
页数：12
相关论文
共 50 条
  • [1] Mathematical morphology and active contours for object extraction and localization in medical images.
    Schupp, S
    Elmoataz, A
    Clouard, R
    Herlin, P
    Bloyet, D
    SIXTH INTERNATIONAL CONFERENCE ON IMAGE PROCESSING AND ITS APPLICATIONS, VOL 1, 1997, (443): : 317 - 321
  • [2] Automatic Measurement of ISNT and CDR on Retinal Images by Means of a Fast and Efficient Method Based on Mathematical Morphology and Active Contours
    Verdu-Monedero, Rafael
    Morales-Sanchez, Juan
    Berenguer-Vidal, Rafael
    Selles-Navarro, Inmaculada
    Palazon-Cabanes, Ana
    FROM BIOINSPIRED SYSTEMS AND BIOMEDICAL APPLICATIONS TO MACHINE LEARNING, PT II, 2019, 11487 : 361 - 370
  • [3] USING MATHEMATICAL MORPHOLOGY TO DETERMINE LEFT-VENTRICULAR CONTOURS
    PLADELLORENS, J
    SERRAT, J
    CASTELL, A
    YZUEL, MJ
    PHYSICS IN MEDICINE AND BIOLOGY, 1993, 38 (12): : 1877 - 1894
  • [4] Trachea segmentation in CT images using active contours
    Valdés, R
    Yáñez-Suárez, O
    Medina, V
    PROCEEDINGS OF THE 22ND ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-4, 2000, 22 : 3184 - 3187
  • [5] Segmentation of medical ultrasound images using active contours
    Michailovich, Oleg
    Tannenbaum, Allen
    2007 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-7, 2007, : 2765 - +
  • [6] Automated quantification of cell endocytosis using active contours and wavelets
    Dufour, A.
    Meas-Yedid, V.
    Grassart, A.
    Olivo-Marin, J. -C.
    19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6, 2008, : 2201 - 2204
  • [7] Mathematical morphology applied to spot segmentation and quantification of gene microarray images
    Siddiqui, KI
    Hero, AO
    Siddiqui, MM
    THIRTY-SIXTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS - CONFERENCE RECORD, VOLS 1 AND 2, CONFERENCE RECORD, 2002, : 926 - 930
  • [8] SEGMENTATION OF ECHOCARDIOGRAPHIC IMAGES USING MATHEMATICAL MORPHOLOGY
    KLINGLER, JW
    VAUGHAN, CL
    FRAKER, TD
    ANDREWS, LT
    IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 1988, 35 (11) : 925 - 934
  • [9] FREE SPACE DETECTION USING ACTIVE CONTOURS IN OMNIDIRECTIONAL IMAGES
    Merveilleux, Pauline
    Labbani-Igbida, Ouiddad
    Mouaddib, El Mustapha
    2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, 2010, : 3533 - 3536
  • [10] MATHEMATICAL MORPHOLOGY AND IMAGES
    SERRA, J
    RECHERCHE, 1983, 14 (144): : 722 - +
12345