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We present a method for estimating the complexity of an image based onBennett's concept of logical depth. Bennett identified logical depth as theappropriate measure of organized complexity, and hence as being better suitedto the evaluation of the complexity of objects in the physical world. Its useresults in a different, and in some sense a finer characterization than isobtained through the application of the concept of Kolmogorov complexity alone.We use this measure to classify images by their information content. The methodprovides a means for classifying and evaluating the complexity of objects byway of their visual representations. To the authors' knowledge, the method andapplication inspired by the concept of logical depth presented herein are beingproposed and implemented for the first time.

Image Characterization and Classification by Physical Complexity