Skin Colour Detection Using the Statistical Decision Theory

被引：3
|
作者：
Fang, Gu [1 ]
Kwok, Ngai Ming [2 ]
Dissanayake, Gamini [3 ]
机构：
[1] Univ Western Sydney, Sch Comp Engn & Math, Penrith, NSW 2751, Australia
[2] Univ New S Wales, Sch Mech & Mfg Engn, Sydney, NSW 2052, Australia
[3] Univ Technol Sydney, Sch Elec Mech & Mechatron Syst, Sydney, NSW 2007, Australia
来源：
MANUFACTURING PROCESS AND EQUIPMENT, PTS 1-4 | 2013年 / 694-697卷
关键词：
Skin colour detection; skin modelling; decision theory; sign test;
D O I：
10.4028/www.scientific.net/AMR.694-697.1891
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Skin colour is an important attribute that can be used to detect human presence in an image. In this paper, a new method is introduced to detect skin pixels in an image based on statistical decision theory. The proposed method uses a parametric model to produce a pixel seed that represents a potential skin pixel. Then the validity of the pixel is confirmed using a moving window and the nonparametric sign test. Experiments show that the proposed method can produce very accurate skin detection results.
引用
收藏
页码：1891 / +
页数：2
相关论文
共 50 条
  • [1] Human Skin Colour Detection Using Bayesian Rough Decision Tree
    Abbas, Ayad R.
    Farooq, Ayat O.
    NEW TRENDS IN INFORMATION AND COMMUNICATIONS TECHNOLOGY APPLICATIONS, NTICT 2018, 2018, 938 : 240 - 254
  • [2] Watermark detection algorithm using statistical decision theory
    Kwon, SG
    Lee, SH
    Kwon, KK
    Kwon, KR
    Lee, KI
    IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOL I AND II, PROCEEDINGS, 2002, : 561 - 564
  • [3] Watermark detection algorithm in multimedia using statistical decision theory
    Kwon, SG
    Kwon, KR
    Lee, KI
    SECURITY AND WATERMARKING OF MULTIMEDIA CONTENTS V, 2003, 5020 : 322 - 329
  • [4] Chromatic colour spaces for skin detection using GMMs
    Butler, D
    Sridharan, S
    Chandran, V
    2002 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-IV, PROCEEDINGS, 2002, : 3620 - 3623
  • [5] Efficient detection of wound-bed and peripheral skin with statistical colour models
    Francisco J. Veredas
    Héctor Mesa
    Laura Morente
    Medical & Biological Engineering & Computing, 2015, 53 : 345 - 359
  • [6] GPU Accelerated Computing for Human Skin Colour Detection using YCbCr Colour Model
    Solanke, Ganesh B.
    Gore, Sonal
    2017 INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION, CONTROL AND AUTOMATION (ICCUBEA), 2017,
  • [7] Multiple face detection algorithm using colour skin modelling
    Amjad, A.
    Griffiths, A.
    Patwary, M. N.
    IET IMAGE PROCESSING, 2012, 6 (08) : 1093 - 1101
  • [8] Aircraft Inflight Icing Detection Based on Statistical Decision Theory
    Ding, D.
    Qian, W. Q.
    Wang, Q.
    2019 5TH INTERNATIONAL CONFERENCE ON MECHANICAL AND AERONAUTICAL ENGINEERING (ICMAE 2019), 2020, 751
  • [9] W Efficient detection of wound-bed and peripheral skin with statistical colour models
    Veredas, Francisco J.
    Mesa, Hector
    Morente, Laura
    MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2015, 53 (04) : 345 - 359
  • [10] THE THEORY OF STATISTICAL DECISION
    SAVAGE, LJ
    JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1951, 46 (253) : 55 - 67
12345