【摘要】 图象分割是图象分析和计算机视觉等学科中最基本也是最困难的课题之一。直方图技术是图象分割的重要技术 ,而灰度图象的象素灰度分布近似符合高斯概率分布 ,本文是把直方图技术和高斯统计分布函数有效地结合起来 ,作为求取图象二值化阈值的理论基础。并获得其理论表达式。由此 ,通过对该表达式的分析 ,获得了求解阈值的迭代公式和步骤更多还原

【Abstract】 Image segment is one of the most fundamental and difficult problems in image analysis and computer vision. Histogram technique is an important technique of image segment. The distribution of a gray level image is often similar to that of Gaussian distribution. So the article combines the histogram technique with Gaussian distribution function, achieving a theory basis of image segment.From the analysis of the theoretical expression of this theory,the article gets the iterative formulas and steps on how to work out the threshold in image segment.At last,the article uses two examples to prove this method.更多还原