基于三角级数的直方图拟合多目标图像分割  

Image Segmentation Based on Histogram Simulation by Use of Trigonometric Series

作　　者：冯涛[1] 方建安[2] 刘其真[3] 

机构地区：[1]上海第二工业大学,上海200041 [2]东华大学,上海201620 [3]复旦大学计算机科学与工程系,上海200433

出　　处：《中国图象图形学报》2007年第10期1849-1852,共4页Journal of Image and Graphics

摘　　要：针对灰度图像多层分割如何选取多目标图像分割的准确阈值这一难点问题,提出了一种利用三角级数来对直方图包络线进行拟合,首先把直方图包络线逼近问题转化为求解三角级数的问题,再通过计算拟合函数的拐点来得到用于多目标图像分割的最优阈值的方法。实验结果表明,该方法是求解多峰值直方图图像的最优分割阈值的有效手段。It is difficult to obtain the accurate segmentation threshold for image. This paper uses the trigonometric series to approximate the histogram and analyzes the fitted curve of the histogram. The problem of the optimal threshold has been solved by estimating the parameters of the inflexion of the curve which approximated the histogram. The experimental result shows that this method is effective in calculating the optimal segmentation threshold of an image.

关 键 词：三角级数 直方图逼近 函数拐点 最优阈值 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]