A new method to generate color texture images based on HSV and olfactory system bionic model

Authors:
Zhang Jin;Zhu Shang-wu;Wang Ru-Iong;Li Guang;Walter J. Freeman
Affiliations:
School of Software, Hunan University, Changsha and National Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, China;School of Software, Hunan University, Changsha, China;School of Software, Hunan University, Changsha, China;National Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, China;Dept. of Molecular and Cell Biology, University of California at Berkeley, Berkeley, CA
Venue:
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Year:
2009

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Abstract

A new method to generate color texture images is proposed in this paper, which derived from our previous works to generate the gray texture. The method is based on the olfactory system bionic model to generate the gray texture. The model architecture mimics that of mammal olfactory neural system. Period function is used as the activity function of nodes in the model to realize the periodic repetition of texture. Chaotic mapping is used to adjust the model parameters to assure the model being in non-convergence state. The previous input is introduced as the noise to simulate the background noise of neural system. One color image is used as seed image. In HSV space, the Hue (H), Saturation (S) and Value (V) of each pixel is used as the model input and the model output is composed as the H, S and V of corresponding pixel in generated texture. Experimental results show that the proposed method can generate many beautiful color textures, whose textures are different from the original texture.