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Perceived Directionality Of Random-Phase Fractal Surfaces Based On Mojette Transform

Authors: Ji, Ping; Dong, Junyu; Qi, Lin; Chantler, Mike;

Perceived Directionality Of Random-Phase Fractal Surfaces Based On Mojette Transform

Abstract

{"references": ["[1] X. He, Y. Zhang, T. Lok, and M. Lyu. A New Feature of\nUniformity of Image Texture Directions Coinciding with the Human Eyes Perception. Lecture Notes in Artificial Intelligence, Springer-Verlag, LNAI, 3614:727\u2013730, 2005.\n[2] K. Jafari-Khouzani and H. Soltanian-Zadeh. Radon trans- form orientation estimation for rotation invariant texture analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(6):1004\u20131008, 2005.\n[3] Pratik Shah. A Psychophysically-based Model for the Perceived Directionality of Textured Surfaces., Doctoral Thesis. Heriot-Watt University.\n[4] Peng jia, Junyu Dong, Lin Qi and Florent Autrusseau, Directionality measurement and illumination estimation of 3D surface textures by using mojette transform, ICPR(1-4)"]}

Based on a set of experiments, this paper investigates the relationship between perceived directionality of surface textures and features from Mojette Transform. It was found that two properties of Mojette Transform (the variance and the local maximum of projection vectors) are related to human perception on directionality. Based on these features, a measurement model was proposed for perceived directionality. This record was migrated from the OpenDepot repository service in June, 2017 before shutting down.

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Keywords

random-phase., Mojette transform, perceived directionality

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