基于贝叶斯算法的二值化算法

Application of binarization based on Bayes algorithm

针对在图像二值化过程中动态选取阈值难的问题,在分析了全局阈值法和局部阈值法各自优缺点的基础上,提出了一种基于贝叶斯算法的全局阈值法和局部阈值法相结合的二值化方法。经实验证明,该方法既能够有效地消除光照不均匀对图像的影响,较好地保留目标图像的细节,又能够有效地消除伪影,提高处理速度。

Aiming at the difficulties of selecting threshold value dynamically in the process of image binarization, a binarization method based on Bayes algorithm is derived, this method is a combination of global threshold method and local threshold method. Experiments prove that this method is able to eliminate the effects of unequal illumination and artifacts, retain target image＇s details and raise the processing speed.