Survey on simplified olfactory bionic model to generate texture images

Authors:
Zhang Jin;Deng Yang;Li Yong-jun;Wang Ying;Wang Ru-long
Affiliations:
College of Information Science and Engineering, Hunan University, Changsha, China;College of Information Science and Engineering, Hunan University, Changsha, China;College of Information Science and Engineering, Hunan University, Changsha, China;School of Humanities, Information Technology and Management, Hunan Univerisyt of Chinese Medicine, Changsha, China;College of Information Science and Engineering, Hunan University, Changsha, China
Venue:
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part II
Year:
2012

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Abstract

In order to improve performance of artificial neural networks (ANNs) generating texture images, simplified olfactory bionic model (SOBM) to generate texture images is proposed by Zhang in 2008. In this paper, a series of related researches are surveyed. SOBM is introduced from three aspects and texture images with different style are surveyed. Otherwise, SOBM are analyzed synthetically from qualitative and quantitive aspects according to different factors effecting texture images.