Integrating Color, Texture, and Spatial Features for Image Interpretation

In this paper, we present an approach to achieve the region-based image semantic interpretation and recall process in color image from image database. This system includes feature extraction of region, indexing process, linguistic inference rules construction, as well as a semantic description of region image. Based on these features, each of human labeled regions in an image can be described by a corresponding linguistic meaning. The main procedure consists of two parts: procedure 1 (forward) and 2 (recall) processes. The forward process primarily presents the linguistic meaning description of a region image based on feature definitions, inference rules, and indexing process. In recall process, it mainly reconstructs the region image which performs the rough mental image of human memory retrieval according to the semantic meaning by means of a specified or the pre-staged result. Experiments confirm that our approach is reasonable and feasible.