An improved watershed segmentation algorithm with thermal markers for multispectral image analysis

被引：0
|
作者：
Viau, C. R. [1 ]
Payeur, P. [1 ]
Cretu, A. -M. [2 ]
机构：
[1] Univ Ottawa, Sch Elect Engn & Comp Sci, 800 King Edward Ave, Ottawa, ON, Canada
[2] Univ Quebec Outaouais, Dept Informat & Ingn, 101 St Jean Bosco, Gatineau, PQ, Canada
来源：
AUTOMATIC TARGET RECOGNITION XXVI | 2016年 / 9844卷
关键词：
visual thermal image analysis; multispectral; segmentation; Watershed;
D O I：
10.1117/12.2223362
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
As part of a broader research effort in multispectral image analysis, an improved segmentation algorithm based on the classical Watershed concept was developed. A requirement for this research was to develop a segmentation algorithm that could effectively extract objects of interest in both visual and thermal image pairs. The classical Watershed algorithm can be enhanced with "markers" identifying clusters of pixels belonging to the same object or to the background. There are several ways to create the markers and the proposed Watershed with Thermal Markers allows the user to extract objects of interest from both visual and/or thermal dataset using an initial seed extracted from the thermal image.
引用
收藏
页数：10
相关论文
共 50 条
  • [21] Application of improved watershed image segmentation algorithm in post-processing of capacitive tomographic images
    Fan, Huiying
    PROCEEDINGS OF 2020 IEEE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND INFORMATION SYSTEMS (ICAIIS), 2020, : 485 - 489
  • [22] INTERACTIVE IMAGE SEGMENTATION WITH INTEGRATED USE OF THE MARKERS AND THE HIERARCHICAL WATERSHED APPROACHES
    Klava, Bruno
    Tomita Hirata, Nina Sumiko
    VISAPP 2009: PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON COMPUTER VISION THEORY AND APPLICATIONS, VOL 1, 2009, : 186 - 193
  • [23] A Fast Segmentation Algorithm of SAR Oil Slick with An improved Watershed
    Kong, Longteng
    Che, Yunlong
    Guo, Hao
    An, Jubai
    2013 2ND INTERNATIONAL SYMPOSIUM ON INSTRUMENTATION AND MEASUREMENT, SENSOR NETWORK AND AUTOMATION (IMSNA), 2013, : 344 - 348
  • [24] Multispectral IKONOS image segmentation based on texture marker-controlled watershed algorithm - art. no. 67900U
    Xiao, Pengfeng
    Feng, Xuezhi
    Zhao, Shuhe
    She, Jiangfeng
    REMOTE SENSING AND GIS DATA PROCESSING AND APPLICATIONS; AND INNOVATIVE MULTISPECTRAL TECHNOLOGY AND APPLICATIONS, PTS 1 AND 2, 2007, 6790 : U7900 - U7900
  • [25] An Improved Watershed Segmentation Algorithm for Adhesive Particles in Sugar Cane Crystallization
    Meng, Yanmei
    Zheng, Kangyuan
    Hu, Feihong
    Li, Wenxing
    Lu, Guancheng
    PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON INFORMATION ENGINEERING FOR MECHANICS AND MATERIALS, 2015, 21 : 1774 - 1779
  • [26] Segmentation of range image based on morphology watershed
    Zou, N
    Liu, J
    Zhou, ML
    Li, Q
    INTERNATIONAL CONFERENCE ON SENSORS AND CONTROL TECHNIQUES (ICSC 2000), 2000, 4077 : 189 - 193
  • [27] Segmentation of Color Image using Adaptive Thresholding and Masking with Watershed Algorithm
    Rahman, Md Habibur
    Islam, Md Rafiqul
    2013 INTERNATIONAL CONFERENCE ON INFORMATICS, ELECTRONICS & VISION (ICIEV), 2013,
  • [28] Investigating Segmentation Robustness on Multispectral Image Color Representation
    Charifi, Rajaa
    Es-Sbai, Najia
    Mansouri, Anass
    2019 INTERNATIONAL CONFERENCE ON WIRELESS TECHNOLOGIES, EMBEDDED AND INTELLIGENT SYSTEMS (WITS), 2019,
  • [29] An Improved Image Processing Analysis for the Detection of Lung Cancer using Gabor Filters and Watershed Segmentation Technique
    Avinash, S.
    Manjunath, K.
    Kumar, S. Senthil
    2016 INTERNATIONAL CONFERENCE ON INVENTIVE COMPUTATION TECHNOLOGIES (ICICT), VOL 3, 2015, : 962 - U2333
  • [30] Quantitative analysis of marker-based watershed image segmentation
    Madhumitha, S.
    Manikandan, M.
    CURRENT SCIENCE, 2018, 114 (05): : 1007 - 1013
12345