TY - JOUR ID - TI - COLOR FEATURE WITH SPATIAL INFORMATION EXTRACTION METHODS FOR CBIR: A REVIEW AU - Sarmad Abdul-samad AU - Sawsan Kamal PY - 2019 VL - 45 IS - 1 SP - 15 EP - 19 JO - Iraqi Journal for Computers and Informatics المجلة العراقية للحاسبات والمعلوماتية SN - 2313190X 25204912 AB - Inn then last two decades the Content Based Image Retrieval (CBIR) considered as one of the topic of interest for theresearchers. It depending one analysis of the image’s visual content which can be done by extracting the color, texture and shapefeatures. Therefore, feature extraction is one of the important steps in CBIR system for representing the image completely. Color featureis the most widely used and more reliable feature among the image visual features. This paper reviews different methods, namely LocalColor Histogram, Color Correlogram, Row sum and Column sum and Colors Coherences Vectors were used to extract colors featurestaking in consideration the spatial information of the image.

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