In this paper, the authors are mainly focusing on the area image database indexing. For this purpose, a user interactive image segmentation algorithm is applied to the input image. After performing segmentation of the input image only the desired portion of the image i.e., the foreground is extracted. Interactive segmentation stage is followed by a feature extraction process that is performed for the image database as well as the region database. The features extracted include some color features and texture features. Then using Manhattan distance a similarity measurement is done for images under same concept as well as images under different concept for both images in database as well as well as for segmented regions.