Intra and Inter Spatial Color Descriptor for Content Based Image Retrieval
Imen Ben Rejeb, Sonia Ouni, Ezzeddine Zagrouba · 2019
Color is one of the most important and widely used low-level features in content analysis and retrieval. However, most proposed color descriptors lack the spatial information about color distribution. The majorities of spatial color descriptor characterize the spatial color distribution either by the intra or the inter spatial color information. Thus, we provide a complete description by proposing an Intra and Inter Spatial Color Descriptor (IISCD). In fact, we describe the dispersion of each color in the image. In addition, we propose an improvement of the spatial reasoning to describe the inter-color relationships. In addition, a new similarity approach is proposed to image retrieval. The experimental results prove the high effectiveness and feasibility of the proposed descriptor, through Corel database.