Stone images retrieval based on color histogram

Stone images' color features are chosen for its retrieval and indexing in this paper. Cross color histogram, annular color histogram, and angular color histogram are respectively combined with HSV color space to accord with human's visual uniformity. In HSV color space, H, S, V three compo...

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Bibliographic Details
Published in2009 International Conference on Image Analysis and Signal Processing pp. 157 - 161
Main Authors Qiang Zhao, Jie Yang, Jingyi Yang, Hongxing Liu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2009
Subjects
Color
Content based retrieval
Histograms
Humans
Image converters
Image retrieval
Indexing
Information retrieval
Quantization
Space technology
Online AccessGet full text
ISBN9781424439874
1424439876
ISSN2156-0110
DOI10.1109/IASP.2009.5054590

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Abstract Stone images' color features are chosen for its retrieval and indexing in this paper. Cross color histogram, annular color histogram, and angular color histogram are respectively combined with HSV color space to accord with human's visual uniformity. In HSV color space, H, S, V three components carry on unequal interval quantization to improve retrieval precision and efficiency, and then different weight values are given and adjusted to different color channel. Stone images are sorted according to their similarity in retrieval results. Experiments showed that cross color histogram in HSV color space has excellent performance on stone images retrieval.
AbstractList Stone images' color features are chosen for its retrieval and indexing in this paper. Cross color histogram, annular color histogram, and angular color histogram are respectively combined with HSV color space to accord with human's visual uniformity. In HSV color space, H, S, V three components carry on unequal interval quantization to improve retrieval precision and efficiency, and then different weight values are given and adjusted to different color channel. Stone images are sorted according to their similarity in retrieval results. Experiments showed that cross color histogram in HSV color space has excellent performance on stone images retrieval.
Author Jie Yang
Hongxing Liu
Qiang Zhao
Jingyi Yang
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  surname: Hongxing Liu
  fullname: Hongxing Liu
  organization: Sch. of Inf. Eng., Wuhan Univ. of Technol., Wuhan
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Snippet Stone images' color features are chosen for its retrieval and indexing in this paper. Cross color histogram, annular color histogram, and angular color...
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SubjectTerms Color
Content based retrieval
Histograms
Humans
Image converters
Image retrieval
Indexing
Information retrieval
Quantization
Space technology
Title Stone images retrieval based on color histogram
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