The representation of visual features in images is a fundamental issue in Content-Based Image Retrieval. Computer vision and pattern recognition algorithms provide the means to extract numerical descriptors which give a quantitative measure to such features. The features employed in most CBIR techniques include: color, texture, local shape and spatial layout. The following is a brief description of some current methods for extracting such features and the similarity measures between such features.