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
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