一种新的基于蒙特卡罗模拟和光子传输模型的图像分割算法

A Novel Image Segmentation Algorithm Based on Monte Carlo and Photon Propagation Model

本文以蒙特卡罗模拟方法为基础,结合组织光学的光子传输模型,提出了一种新的图像分割算法,该算法将复杂的图像分割问题简化为大量简单的光子传输随机实验,通过分析传输规律来获取目标区域。在随后的实验中,结合细胞核提取这一问题建立了一个简单的光学传输模型,并依据此模型分别对人造图和实际图进行了分割。人造图的分割结果表明了该算法的可行性,说明了该算法的一些优点;而实际图的分割结果则反映了该算法的不足之处,文章针对其中存在的问题和算法待改进之处进行了分析。

A new segmentation method based on Photon propagation model is presented with the foundation of Monte Carlo Simulation. This algorithm simplifies the complexity of image segmentation by turning it into vast simple simulations of photon propagation, and the object is finally obtained by analyzing the law of propagation instead of the complex image data. In the later experiment, according to the problem of karyon segmentation, a photon propagation model is established, and segmentation works have been done on both artifact and real cell image. The result of artifact is good, and shows the feasibility of this new algorithm. Based on the real image＇ s results,existing problems have been analyzed.