TexRet: A Texture Retrieval System Using Soft-Computing

2. The Texret-System

The TEXRET-System, whose block diagram is shown in Figure 1, is made of the FI (Fuzzy Interface), the Q2TPT (Qualitative to Quantitative Textural Properties Transformation), the TR (Texture Retrieval), the TG (Texture Generation), and the EPA (Evolutionary Parameter Adjustment) modules. The on-line phase of the texture retrieval process works as follows: A human user makes a query of a texture using a subjective, linguistic or human-like texture description. The FI module enters this description into the system using a fuzzy representation of it. The Q2TPT module interprets the query and translates it into a quantitative texture description that is implemented using Tamura Descriptors. This qualitative description is used by the TR module to search the texture in the database. In the case that the texture is not found in the database, the user can choose the automatic generation of it. The TG module generates the texture using Markov Random Fields (MRF). The parameters of the MRF are calculated from the Tamura descriptors and then the textures are generated. As a result of this generation process a set of textures is presented to the user. If the user considers that one of the generated textures satisfy his query, the process finishes here. If not, the user enters into an iterative process. The iterative generation of the textures is implemented using interactive evolutionary computation (EPA module). It should be pointed out that the subjective or humanlike texture description that the system accepts, was determined by a psychological study in texture perception, performed by co-workers of the authors, and that will be presented elsewhere.

Figure 1.

Block diagram of TEXRET

In the next two sections the modules dealing with the generation of textures are presented.