Grating cell operator features for oriented texture segmentation

被引：0
|
作者：
Kruizinga, P [1 ]
Petkov, N [1 ]
机构：
[1] Univ Groningen, Inst Math & Comp Sci, NL-9700 AV Groningen, Netherlands
来源：
FOURTEENTH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1 AND 2 | 1998年
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：
The performance of two well-known texture operators (based on Gabor-energy and the cooccurrence matrix) is compared with the performance of a new, biologically motivated texture operator the grating cell operator; which was proposed elsewhere by the authors. The comparison is made using a new quantitative method, based on the Fisher criterion. Together with some classification results comparison experiments the comparison shows a clear superiority of the new operator in oriented texture problems.
引用
收藏
页码：1010 / 1014
页数：5
相关论文
共 50 条
  • [41] Integration of Fractal and grey-level features for texture segmentation
    Ma, Li
    Shan, Yajing
    CISP 2008: FIRST INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOL 3, PROCEEDINGS, 2008, : 687 - 691
  • [42] Fusion of colour and texture features in image segmentation: an empirical study
    Ooi, W. S.
    Lim, C. P.
    IMAGING SCIENCE JOURNAL, 2009, 57 (01): : 8 - 18
  • [43] Oriented texture segmentation based on Gabor filter correlation and morphological operations
    Shamsi, H
    Shoaei, O
    Doost, R
    16TH INTERNATIONAL CONFERENCE ON MICROELECTRONICS, PROCEEDINGS, 2004, : 442 - 445
  • [44] Segmentation and classification of terrain using texture, intensity and edge as features
    Majumdar, J
    Vanathy, B
    PROCEEDINGS OF THE 6TH JOINT CONFERENCE ON INFORMATION SCIENCES, 2002, : 732 - 735
  • [45] Color texture segmentation based on quaternion-Gabor features
    Wang Xiao-Hui
    Zhou Yue
    Wang Yong-Gang
    Zhu WeiWei
    PROGRESS IN PATTERN RECOGNITION, IMAGE ANALYSIS AND APPLICATIONS, PROCEEDINGS, 2006, 4225 : 345 - 353
  • [46] Unsupervised Texture Segmentation and Labeling Using Biologically Inspired Features
    Martens, Gaetan
    Poppe, Chris
    Lambert, Peter
    Van de Walle, Rik
    2008 IEEE 10TH WORKSHOP ON MULTIMEDIA SIGNAL PROCESSING, VOLS 1 AND 2, 2008, : 159 - 164
  • [47] Chaotic features for motion pattern segmentation and dynamic texture classifiation
    Hu, S.-Q. (sqhu@sjtu.edu.cn), 1600, Science Press (40):
  • [48] A New Image Texture Segmentation Based on Contourlet Fractal Features
    Katayoon Sarafrazi
    Mehran Yazdi
    Mohammad Javad Abedini
    Arabian Journal for Science and Engineering, 2013, 38 : 3437 - 3449
  • [49] Texture segmentation based on features in wavelet domain for image retrieval
    Ying, L
    Si, W
    Zhou, XF
    VISUAL COMMUNICATIONS AND IMAGE PROCESSING 2003, PTS 1-3, 2003, 5150 : 2026 - 2034
  • [50] An architecture for texture segmentation: From energy features to region detection
    Palagi, PM
    GuerinDugue, A
    FROM NATURAL TO ARTIFICIAL NEURAL COMPUTATION, 1995, 930 : 956 - 962
12345