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Image Retrieval using Spatial Chromatic Histograms

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In this work, a new method for color image indexation is proposed. First the color space and the spatial domain are both projected on a 1D space and partitioned in a fuzzy way. Then, the 2D histogram of the membership degrees to these two partitions is computed. This histogram can be used to index each image of a large database. Therefore, retrieval is simply performed by computing the Euclidean difference between the 2D histogram of the query image and the 2D histogram of a database image. This method is applied on a real database.
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Document Type: Research Article

Publication date: January 1, 2004

More about this publication?
  • Started in 2002 and merged with the Color and Imaging Conference (CIC) in 2014, CGIV covered a wide range of topics related to colour and visual information, including color science, computational color, color in computer graphics, color reproduction, volor vision/psychophysics, color image quality, color image processing, and multispectral color science. Drawing papers from researchers, scientists, and engineers worldwide, DGIV offered attendees a unique experience to share with colleagues in industry and academic, and on national and international standards committees. Held every year in Europe, DGIV papers were more academic in their focus and had high student participation rates.

    Please note: For purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual papers for details.

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