COLOR FEATURE WITH SPATIAL INFORMATION EXTRACTION METHODS FOR CBIR: A REVIEW

Authors

  • Sarmad Abdul-samad AL-Nahiriain University

Keywords:

Spatial Features, Color Histogram, Color Correlogram, Color Coherence Vector

Abstract

Inn then last two decades the Content Based Image Retrieval (CBIR) considered as one of the topic of interest for the
researchers. It depending one analysis of the image’s visual content which can be done by extracting the color, texture and shape
features. Therefore, feature extraction is one of the important steps in CBIR system for representing the image completely. Color feature
is the most widely used and more reliable feature among the image visual features. This paper reviews different methods, namely Local
Color Histogram, Color Correlogram, Row sum and Column sum and Colors Coherences Vectors were used to extract colors features
taking in consideration the spatial information of the image.

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Author Biography

Sarmad Abdul-samad, AL-Nahiriain University

Computers Science Department

Published

2019-05-01