Improving Face Segmentation in Thermograms Using Image Signatures

被引：0
|
作者：
Filipe, Silvio [1 ]
Alexandre, Luis A. [1 ]
机构：
[1] Univ Beira Interior, SOCIA Soft Comp & Image Anal Grp, IT Inst Telecomun, Dept Comp Sci, P-6200 Covilha, Portugal
来源：
PROGRESS IN PATTERN RECOGNITION, IMAGE ANALYSIS, COMPUTER VISION, AND APPLICATIONS | 2010年 / 6419卷
关键词：
Face Segmentation; Human Skin Segmentation; Image segmentation; Infrared Thermal;
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 aim of this paper is to present a method for the automatic segmentation of face images captured in Long Wavelength Infrared (LWIR), allowing for a large range of face rotations and expressions. The motivation behind this effort is to enable better performance of face recognition methods in the thermal Infrared (IR) images. The proposed method consists on the modelling of background and face pixels by two normal distributions each, followed by a post-processing step of face dilation for closing holes and delimitation based on vertical and horizontal images signatures. Our experiments were performed on images of the University of Notre Dame (UND) and Florida State University (FSU) databases. The obtained results improve on previous existing methods from 2.8% to more than 25% depending on the method and database.
引用
收藏
页码：402 / 409
页数：8
相关论文
共 50 条
  • [41] Image segmentation via fractal transformation: Improving Ida's image segmentation scheme
    You, H
    Shiraki, N
    Tokunaga, R
    ELECTRONICS AND COMMUNICATIONS IN JAPAN PART III-FUNDAMENTAL ELECTRONIC SCIENCE, 2002, 85 (04): : 66 - 72
  • [42] Improving arm segmentation in sign language recognition systems using image processing
    Tian, Qiuhong
    Bao, Jiaxin
    Yang, Huimin
    Chen, Yingrou
    Zhuang, Qiaoli
    TECHNOLOGY AND HEALTH CARE, 2021, 29 (03) : 527 - 540
  • [43] Improving Brain MR Image Classification for Tumor Segmentation using Phase Congruency
    Latif, Ghazanfar
    Iskandar, D. N. F. Awang
    Alghazo, Jaafar
    Jaffar, Arfan
    CURRENT MEDICAL IMAGING, 2018, 14 (06) : 914 - 922
  • [44] Improving Medical Image Segmentation Using Test-Time Augmentation with MedSAM
    Nazzal, Wasfieh
    Thurnhofer-Hemsi, Karl
    Lopez-Rubio, Ezequiel
    MATHEMATICS, 2024, 12 (24)
  • [45] Segmentation of faces in video footage using HSV color for face detection and image retrieval
    Ikeda, O
    2003 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL 3, PROCEEDINGS, 2003, : 913 - 916
  • [46] Improving Occluded Face Recognition with Image Fusion
    Chen, Panxi
    Li, Xiaoqiang
    Wang, Wenfeng
    2020 13TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, BIOMEDICAL ENGINEERING AND INFORMATICS (CISP-BMEI 2020), 2020, : 259 - 265
  • [47] Improving face recognition by online image alignment
    Wang, Peng
    Tran, Lam Cam
    Ji, Qiang
    18TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 1, PROCEEDINGS, 2006, : 311 - +
  • [48] Improving image segmentation with contextual and structural similarity
    Chen, Xiaoyang
    Liu, Qin
    Deng, Hannah H.
    Kuang, Tianshu
    Lin, Henry Hung-Ying
    Xiao, Deqiang
    Gateno, Jaime
    Xia, James J.
    Yap, Pew-Thian
    PATTERN RECOGNITION, 2024, 152
  • [49] Improving Residual Block for Semantic Image Segmentation
    Liu, Fei
    Liu, Jing
    Fu, Jun
    Lu, Hanqing
    2018 IEEE FOURTH INTERNATIONAL CONFERENCE ON MULTIMEDIA BIG DATA (BIGMM), 2018,
  • [50] A watershed approach for improving medical image segmentation
    Zanaty, E. A.
    Afifi, Ashraf
    COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING, 2013, 16 (12) : 1262 - 1272
12345