INTERACTIVE IMAGE SEGMENTATION WITH INTEGRATED USE OF THE MARKERS AND THE HIERARCHICAL WATERSHED APPROACHES

被引:0
作者
Klava, Bruno [1 ]
Tomita Hirata, Nina Sumiko [1 ]
机构
[1] Univ Sao Paulo, Inst Math & Stat, BR-1010 Sao Paulo, Brazil
来源
VISAPP 2009: PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON COMPUTER VISION THEORY AND APPLICATIONS, VOL 1 | 2009年
关键词
Segmentation; Interactivity; Watershed from markers; Hierarchical watershed; TRANSFORM;
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
The watershed transform is a well-known approach for image segmentation. Watershed from markers and hierarchical watershed are derived from the watershed transform and are suitable for interactive image segmentation: in the former, the user can edit markers and control the segmentation result; in the latter, the user can select an image partition from a nested set of partitions. We investigate and propose ways to transition from one approach to other. Such transitions can be used to integrate both approaches in such a way that allow us to make full use of the strengths of both. We present examples that illustrate the use of the proposed transitions in conjunction with several interaction possibilities from both approaches.
引用
收藏
页码:186 / 193
页数:8
相关论文
共 50 条
  • [41] Linguistic Color Image Segmentation Using a Hierarchical Bayesian Approach
    Alarcon, Teresa E.
    Marroquin, Jose L.
    [J]. COLOR RESEARCH AND APPLICATION, 2009, 34 (04) : 299 - 309
  • [42] A graph based approach to hierarchical image over-segmentation
    Kalinin, Pavel
    Sirota, Aleksandr
    [J]. COMPUTER VISION AND IMAGE UNDERSTANDING, 2015, 130 : 80 - 86
  • [43] Improving Medical Image Perception By Hierarchical Clustering Based Segmentation
    Selvan, Arul N.
    Saatchi, Reza
    Ferris, Christine M.
    [J]. 2009 9TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND APPLICATIONS IN BIOMEDICINE, 2009, : 331 - +
  • [44] Fast Superpixel-Based Hierarchical Approach to Image Segmentation
    Verdoja, Francesco
    Grangetto, Marco
    [J]. IMAGE ANALYSIS AND PROCESSING - ICIAP 2015, PT I, 2015, 9279 : 364 - 374
  • [45] Hierarchical image segmentation via recursive superpixel with adaptive regularity
    Nakamura, Kensuke
    Hong, Byung-Woo
    [J]. JOURNAL OF ELECTRONIC IMAGING, 2017, 26 (06)
  • [46] Real-time image segmentation based on a parallel and pipelined watershed algorithm
    Dang Ba Khac Trieu
    Tsutomu Maruyama
    [J]. Journal of Real-Time Image Processing, 2007, 2 : 319 - 329
  • [47] Real-time image segmentation based on a parallel and pipelined watershed algorithm
    Dang Ba Khac Trieu
    Maruyama, Tsutomu
    [J]. JOURNAL OF REAL-TIME IMAGE PROCESSING, 2007, 2 (04) : 319 - 329
  • [48] Adaptive Image Enhancement Using Hybrid Particle Swarm Optimization and Watershed Segmentation
    Mohanapriya, N.
    Kalaavathi, B.
    [J]. INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2019, 25 (04) : 663 - 672
  • [49] Oversegmentation reduction in watershed-based grey-level image segmentation
    Frucci, Maria
    di Baja, Gabriella Sanniti
    [J]. INTERNATIONAL JOURNAL OF SIGNAL AND IMAGING SYSTEMS ENGINEERING, 2008, 1 (01) : 4 - 10
  • [50] Segmentation of immunohistochemical image of lung neuroendocrine tumor based on double layer watershed
    Cao, Maoyong
    Wang, Shuang
    Wei, Lu
    Rai, Laxmisha
    Li, Dong
    Yu, Hui
    Shao, Dan
    [J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2019, 78 (07) : 9193 - 9215