基于聚类方法的植物叶片色彩仿真

A Simulation Method for Leaf Color Based on Clustering

针对目前叶片色彩仿真的过程复杂,研究方法局限的问题,提出一种在HSI颜色模型下,采用数学聚类方法的快速叶片色彩仿真方法。首先将植物叶片图像从RGB模型转换为HSI模型,然后在HSI颜色模型下对叶片图像聚类分析,在每一类中对叶片进行色彩仿真,达到快速色彩仿真的效果,建立可调节参数的叶片色彩仿真数学模型。最后将叶片模型从HSI模型转换为RGB模型,对叶片模型进行图像颜色误差分析。实验结果表明,通过上述研究方法仿真出的叶片色彩模型,具有与原图像较高的相似度。仿真过程简捷,拓展了叶片色彩仿真的研究方法。

Presents a rapid simulation method for leaf color based on clustering method in HSI color model, for the problem of the complex leaf color simulation process and the limitations of the research methods. Firstly, the plant leaf image is converted from RGB model to HSI model, through the cluster analysis of leaf image in the HSI model, and color simulation for leaf image in each class, to achieve fast color simulation result, have put forward an adjusta- ble parameters mathematical model of leaf color simulation. Lastly, converted the leaf image model from HSI model to RGB model, and analyze the image color error of leaf image model. The experimental results show the leaf model through the above method to simulate, has high similarity with the origin. Simplify the simulation process, expand the research method of leaf simulation.