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A New Method to Generate Color Texture Images Based on HSV and Olfactory System Bionic Model

机译:一种基于HSV和嗅觉系统仿生模型生成颜色纹理图像的新方法

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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.
机译:在本文中提出了一种生成颜色纹理图像的新方法,它从我们之前的工作中派生来生成灰色纹理。该方法基于嗅觉系统仿生模型来产生灰色纹理。模型架构模拟哺乳动物嗅觉神经系统的模拟。周期函数用作模型中节点的活动函数,以实现纹理的周期性重复。混沌映射用于调整模型参数以确保模型处于非收敛状态。以前的输入被引入为模拟神经系统背景噪声的噪声。一个彩色图像用作种子图像。在HSV空间中,每个像素的色调(H),饱和度和值(V)用作型号输入,并且模型输出被组成为产生纹理中的对应像素的H,S和V.实验结果表明,该方法可以产生许多美丽的颜色纹理,其纹理不同于原始纹理。

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