Image Feature Selection for Content-Based Retrieval of Landscape Images

Abstract

This research proposes a selection method of image features that are effective for searching landscape images on content-based image retrieval. In the method, all the images are divided into square blocks, such as 16 x 16, 32 x 32, and so on. Next, the resemblance between a query image and ones in the database, is calculated based on the similarity for the corresponding blocks of them. The features of color, edge, wavelet and fractal, are selected from among many kinds of image features by a preparatory test. As the result of the experiment with the proposed method, more than 80% images retrieved with the selected features have satisfied user's subjectives.