基于分数布朗随机模型的X线影像边缘检测算法的探索与实践

Exploration and practice of X-Ray image edge detection algorithm based on fractional brownian stochastic model

根据在影像的边缘处,分形的规律性将会被破坏,参数值H将会发生奇异,作者提供了一种基于分数布朗随机模型的X线影像处理方法,从而可以准确判断出X线影像的边缘。对实际仿真效果的分析结果显示,结合分数布朗随机模型的分形参数算法较之其他的边缘检测算法(如Canny算子、Sobel算子等)效果要好,采用该方法能够有效检测X线影像边缘,对提高疾病诊断率、降低治疗成本有重要的现实意义。

According at the junction of the image, regularity of fractal will be destroyed, singularity of fractal pa- rameters H will occur, the authoer provided a X-ray medical image processing methods based on fractional Brown- ian stochastic model, so where is the edge or the junction of the X-ray image coule be determined. From the experi- mental, the algorithm combining fractional Brownian random model of fractal parameters is very effective for the de- tection results of X- ray image than using commonly （ such as the canny operator, sobel operator, etc. ） image edge detection result. Adopting this method can effectively detect and extract the X-ray image edge and have important practical significance for clinical diagnosis and treatment.