Image search algorithms Visual processing and query databases after the color descriptor

被引:0
|
作者
Magda, Enescu Florentine [1 ]
Cosmin, Stirbu [1 ]
Ioan, Lita Adrian [2 ]
机构
[1] Univ Pitesti, Dept Elect Commun & Comp, Pitesti, Romania
[2] Univ Politehn Bucuresti, Bucharest, Romania
关键词
query image; color space; recall; precision; similarity; RGB; XYZ; CIE L*a*b*; HSV; l(1)l(2)l(3);
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 color is one of the most important factors for an image description is a comparative study of color spaces RGB, HSV, XYZ, l(1)l(2)l(3), color image processing and analysis using main methods of transformation and exploitation of color type visual information from images, sets, color space appropriate for the purposes of information retrieval as accurate. The results are shown graphically processing statistically but not least through images. One of the most basic operations you can do with images is to ask "how similar are two pictures?" If we can reasonably answer such a question, the possibility of very many applications open: Internet image search, digital libraries or object recognition (by comparison with a prototype picture), which in turn allows then more sophisticated applications. Algebra provides us with some very simple tools with which we can solve very effective even part of the problem. For every image "measure" in some way a number of parameters that seem important for classification.
引用
收藏
页码:P35 / P40
页数:6
相关论文
共 50 条
  • [11] Mobile Visual Search from Dynamic Image Databases
    Chen, Xi
    Koskela, Markus
    IMAGE ANALYSIS: 17TH SCANDINAVIAN CONFERENCE, SCIA 2011, 2011, 6688 : 196 - 205
  • [12] Design for Implementation of Color Image Processing Algorithms
    Whitesell, Jamison
    Patru, Dorin
    Saber, Eli
    Roylance, Gene
    Larson, Brad
    COLOR IMAGING XIX: DISPLAYING, PROCESSING, HARDCOPY, AND APPLICATIONS, 2014, 9015
  • [13] Performance analysis of parallel query processing algorithms for object-oriented databases
    Su, SYW
    Ranka, S
    He, X
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2000, 12 (06) : 979 - 997
  • [14] An Effective Visual Descriptor Based on Color and Shape Features for Image Retrieval
    Fierro-Radilla, Atoany
    Perez-Daniel, Karina
    Nakano-Miyatakea, Mariko
    Perez-Meana, Hector
    Benois-Pineau, Jenny
    HUMAN-INSPIRED COMPUTING AND ITS APPLICATIONS, PT I, 2014, 8856 : 336 - 348
  • [15] Memory-Efficient Image Databases for Mobile Visual Search
    Chen, David M.
    Girod, Bernd
    IEEE MULTIMEDIA, 2014, 21 (01) : 14 - 23
  • [16] Organizing image databases as visual-content search trees
    Schweitzer, H
    IMAGE AND VISION COMPUTING, 1999, 17 (07) : 501 - 511
  • [17] Improving query effectiveness for large image databases with multiple visual feature combination
    Shen, JL
    Shepherd, J
    Ngu, AHH
    Huynh, DQ
    DATABASE SYSTEMS FOR ADVANCED APPLICATIONS, 2004, 2973 : 857 - 868
  • [18] New Index and Search Descriptor Combined Image of Text and Color Applied to Two Databases (Coil-100 and Corel-DB)
    El Aroussi, El Mehdi
    El Houssif, Noureddine
    Silkan, Hassan
    Rmil, Mohammed
    INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS & STATISTICS, 2018, 57 (01): : 113 - 127
  • [19] Real-time indexing for large image databases: color and edge directivity descriptor on GPU
    L. Bampis
    C. Iakovidou
    S. A. Chatzichristofis
    Y. S. Boutalis
    A. Amanatiadis
    The Journal of Supercomputing, 2015, 71 : 909 - 937
  • [20] Real-time indexing for large image databases: color and edge directivity descriptor on GPU
    Bampis, L.
    Iakovidou, C.
    Chatzichristofis, S. A.
    Boutalis, Y. S.
    Amanatiadis, A.
    JOURNAL OF SUPERCOMPUTING, 2015, 71 (03): : 909 - 937