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Image retrieval is used in searching for images from images
database. In this paper, content – based image retrieval
(CBIR) using four feature extraction techniques has been
achieved. The four techniques are colored histogram features
technique, properties features technique, gray level co-
occurrence matrix (GLCM) statistical features technique and
hybrid technique. The features are extracted from the data
base images and query (test) images in order to find the
similarity measure. The similarity-based matching is very
important in CBIR, so, three types of similarity measure are
used, normalized Mahalanobis distance, Euclidean distance
and Manhattan distance. A comparison between them has
been implemented. From the results, it is conclud
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