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
  • [21] A generative probabilistic oriented wavelet model for texture segmentation
    Stainvas, I
    Lowe, D
    NEURAL PROCESSING LETTERS, 2003, 17 (03) : 217 - 238
  • [22] An Adaptive Foreground Segmentation based on Texture and Intensity Features
    Tsai Tsung-Han
    Zheng Chun-Sheng
    2024 11TH INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS-TAIWAN, ICCE-TAIWAN 2024, 2024, : 29 - 30
  • [23] FAST TEXTURE SEGMENTATION FOR OBJECT-ORIENTED VIDEO CODING
    LAVAGETTO, F
    COCURULLO, F
    EUROPEAN TRANSACTIONS ON TELECOMMUNICATIONS, 1995, 6 (03): : 241 - 253
  • [24] Ciliated epithelium segmentation using texture features classification
    Jabloncik, Frantisek
    Hargas, Libor
    Koniar, Dusan
    Bulava, Jaroslav
    Beddad, Boucif
    13TH INTERNATIONAL CONFERENCE ON ELEKTRO (ELEKTRO 2020), 2020,
  • [25] Significance of texture features in the segmentation of remotely sensed images
    Usha, S. Gandhimathi Alias
    Vasuki, S.
    OPTIK, 2022, 249
  • [26] Color fabric image segmentation based on texture features
    Yang, Y. (lucky_yiyang@qq.com), 1600, Advanced Institute of Convergence Information Technology (04):
  • [27] Segmentation of natural landscapes using morphological texture features
    Epifanio, I
    Soille, P
    IGARSS 2003: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS I - VII, PROCEEDINGS: LEARNING FROM EARTH'S SHAPES AND SIZES, 2003, : 455 - 457
  • [28] Significance of texture features in the segmentation of remotely sensed images
    Usha, S. Gandhimathi Alias
    Vasuki, S.
    Optik, 2022, 249
  • [29] Fast texture segmentation for object-oriented video coding
    Lavagetto, Fabio
    Cocurullo, Fabio
    European transactions on telecommunications and related technologies, 1995, 6 (03): : 241 - 253
  • [30] ESVC-based extraction and segmentation of texture features
    Yang, Jingan
    Zhuang, Yanbin
    Wu, Feng
    COMPUTERS & GEOSCIENCES, 2012, 49 : 238 - 247