Content based image retrieval using color and texture feature extraction in Android

In this paper, we present an approach for effective content based image retrieval by color and texture based on genetic algorithm and euclidean distance method to achieve good image retrieval performance in Android mobile environment. In recent years the Google´s Android play an important role in mobile operating system. It can provide number of application to the user like e-mail, web browser, video and audio player, maps, google play and so on. The content based image retrieval plays an important role in image retrieval methods. Where the color feature extraction is done by color Histogram refinement method and the texture feature extraction is acquired by gray level co-occurrence matrix (GLCM). This integrated feature of color and texture can provide better result for image retrieval in Google´s Android mobile operating system.