Highlight and shading invariant color image segmentation using simulated annealing

被引：0
作者：
Fieguth, P [1 ]
Wesolkowski, S [1 ]
机构：
[1] Univ Waterloo, Waterloo, ON N2L 3G1, Canada
来源：
ENERGY MINIMIZATION METHODS IN COMPUTER VISION AND PATTERN RECOGNITION | 2001年 / 2134卷
关键词：
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：
Color constancy in color image segmentation is an important research issue. In this paper we develop a framework, based on the Dichromatic Reflection Model for asserting the color highlight and shading invariance, and based on a Markov Random Field approach for segmentation. A given RGB image is transformed into a R'G'B' space to remove any highlight components, and only the vector-angle component, representing color hue but not intensity, is preserved to remove shading effects. Due to the arbitrariness of vector angles for low R'G'B' values, we perform a Monte-Carlo sensitivity analysis to determine pixel-dependent weights for the MRF segmentation. Results are presented and analyzed.
引用
收藏
页码：314 / 327
页数：14
相关论文
共 50 条
  • [21] Cast shadow segmentation using invariant color features
    Salvador, E
    Cavallaro, A
    Ebrahimi, T
    [J]. COMPUTER VISION AND IMAGE UNDERSTANDING, 2004, 95 (02) : 238 - 259
  • [22] Color image segmentation using a Gaussian mixture model and a mean field annealing EM algorithm
    Park, JH
    Cho, WH
    Park, SY
    [J]. IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2003, E86D (10): : 2240 - 2248
  • [23] Highlight area recognition and image segmentation
    Zhou, Xiaokuan
    Zhou, Fugen
    Zhu, Xiaoyu
    [J]. Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, 1996, 22 (04): : 495 - 499
  • [24] Color Invariant Skin Segmentation
    Xu, Han
    Sarkar, Abhijit
    Abbott, A. Lynn
    [J]. 2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, CVPRW 2022, 2022, : 2905 - 2914
  • [25] Unsupervised texture based image segmentation by simulated annealing using Markov random field and Potts models
    Goktepe, M
    Atalay, V
    Yalabik, N
    Yalabik, C
    [J]. FOURTEENTH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1 AND 2, 1998, : 820 - 822
  • [26] Color Image Segmentation Using Combined Information of Color and Texture
    Zhang, Fengling
    Xu, Guili
    Zhang, Yong
    Cheng, Yuehua
    Wang, Jingdong
    Tian, Yupeng
    [J]. PROCEEDINGS OF THE 2009 CHINESE CONFERENCE ON PATTERN RECOGNITION AND THE FIRST CJK JOINT WORKSHOP ON PATTERN RECOGNITION, VOLS 1 AND 2, 2009, : 290 - 293
  • [27] COLOR IMAGE SEGMENTATION USING COMPETITIVE LEARNING
    UCHIYAMA, T
    ARBIB, MA
    [J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1994, 16 (12) : 1197 - 1206
  • [28] Fuzzy tsallis entropy for infrared human image segmentation with simulated annealing algorithm
    Nie, Fangyan
    Zhang, Pingfeng
    [J]. ICIC Express Letters, 2015, 9 (08): : 2081 - 2088
  • [29] Image segmentation and classification using color features
    Stachowicz, MS
    Lemke, D
    [J]. PROCEEDINGS VIPROMCOM-2002, 2002, : 57 - 64
  • [30] Color image segmentation using connected regions
    Wesolkowski, S
    Fieguth, P
    [J]. CCECE 2003: CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING, VOLS 1-3, PROCEEDINGS: TOWARD A CARING AND HUMANE TECHNOLOGY, 2003, : 1203 - 1206
12345