Multiscale Blob Features for gray-scale, rotation and spatial scale invariant texture classification

被引：0
|
作者：
Xu, Qi [1 ]
Chen, Yan Qiu [1 ]
机构：
[1] Fudan Univ, Sch Informat Sci & Engn, Shanghai Key Lab Intelligent Informat Proc, Shanghai 200433, Peoples R China
来源：
18TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 4, PROCEEDINGS | 2006年
基金：
中国国家自然科学基金;
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：
This paper proposes to apply a series of flexible threshold planes to the textured image and then use the topological and geometrical attributes of the blobs in the obtained binary images to describe image texture. The proposed Multiscale Blob Features (MBF) is invariant to linear gray-level scaling and rotation, and is insensitive to uniform spatial scaling. The experiment results show that MBF offers very low error rate on the entire Brodatz texture database, and confirm its invariance properties.
引用
收藏
页码：29 / +
页数：2
相关论文
共 50 条
  • [1] A Multiresolution Gray-Scale and Rotation Invariant Descriptor for Texture Classification
    Kou, Qiqi
    Cheng, Deqiang
    Chen, Liangliang
    Zhao, Kai
    IEEE ACCESS, 2018, 6 : 30691 - 30701
  • [2] Rotation and gray-scale invariant classification of textures improved by spatial distribution of features
    Pok, G
    Ryu, KH
    Lyu, JC
    DATABASE AND EXPERT SYSTEMS APPLICATIONS, PROCEEDINGS, 2005, 3588 : 250 - 259
  • [3] Multiresolution gray-scale and rotation invariant texture classification with local binary patterns
    Ojala, T
    Pietikäinen, M
    Mäenpää, T
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2002, 24 (07) : 971 - 987
  • [4] Local multiple patterns based multiresolution gray-scale and rotation invariant texture classification
    Zhu, Changren
    Wang, Runsheng
    INFORMATION SCIENCES, 2012, 187 : 93 - 108
  • [5] Gray-scale Invariant Texture Classification Using Gradient Spectrum
    Song, Qiang
    PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON MODELLING AND SIMULATION (ICMS2009), VOL 2, 2009, : 332 - 337
  • [6] GRAY-SCALE MORPHOLOGICAL GRANULOMETRIC TEXTURE CLASSIFICATION
    CHEN, YD
    DOUGHERTY, ER
    OPTICAL ENGINEERING, 1994, 33 (08) : 2713 - 2722
  • [7] Gray scale and rotation invariant texture classification with local binary patterns
    Ojala, T
    Pietikäinen, M
    Mäenpää, T
    COMPUTER VISION - ECCV 2000, PT I, PROCEEDINGS, 2000, 1842 : 404 - 420
  • [8] Texture classification with combined rotation and scale invariant wavelet features
    Muneeswaran, K
    Ganesan, L
    Arumugam, S
    Soundar, KR
    PATTERN RECOGNITION, 2005, 38 (10) : 1495 - 1506
  • [9] Extraction of noise tolerant, gray-scale transform and rotation invariant features for texture segmentation using wavelrt frames
    Machine Intelligence Unit, Indian Statistical Institute, 203 B. T. Road, Kolkata 700 108, India
    Int. J. Wavelets Multiresolution Inf. Process., 2008, 3 (391-417):
  • [10] Fast Features Invariant to Rotation and Scale of Texture
    Sulc, Milan
    Matas, Jiri
    COMPUTER VISION - ECCV 2014 WORKSHOPS, PT II, 2015, 8926 : 47 - 62
12345