Image Descriptors Based on Statistical Thermodynamics and Applications

This paper presents a series of new image descriptors based on statistical thermodynamics and discusses their application in content-based image retrieval and image clustering. The paper puts forward image descriptors which represent macro-visual characteristics such as "image energy," "image pressure," "image mass," and "image temperature" according to the analysis-localized sub-system within the statistical thermodynamic theory. We can find a lot of mathematical laws by applying statistical thermodynamic theory in digital image processing. The proposed method has the characteristics of the fast calculation. Experiment verifies the rationality and effectiveness of the proposed method.