微型机与应用
微型機與應用
미형궤여응용
MICROCOMPUTER & ITS APPLICATIONS
2014年
5期
56-58
,共3页
印章图像%阈值分割%指数交叉熵%快速算法
印章圖像%閾值分割%指數交扠熵%快速算法
인장도상%역치분할%지수교차적%쾌속산법
seal image%threshold segmentation%exponential cross entropy%fast algorithm
提出了一种二维直分指数交叉熵的印章图像阈值分割快速算法。利用二维直方图对二维指数交叉熵进行阈值选取，导出快速算法。实验结果表明，提出的二维直分指数交叉熵的印章图像阈值分割快速算法相对于最大熵法和指数熵法，不仅分割结果精确，运行时间也相应缩短。
提齣瞭一種二維直分指數交扠熵的印章圖像閾值分割快速算法。利用二維直方圖對二維指數交扠熵進行閾值選取，導齣快速算法。實驗結果錶明，提齣的二維直分指數交扠熵的印章圖像閾值分割快速算法相對于最大熵法和指數熵法，不僅分割結果精確，運行時間也相應縮短。
제출료일충이유직분지수교차적적인장도상역치분할쾌속산법。이용이유직방도대이유지수교차적진행역치선취，도출쾌속산법。실험결과표명，제출적이유직분지수교차적적인장도상역치분할쾌속산법상대우최대적법화지수적법，불부분할결과정학，운행시간야상응축단。
In this paper, exponential cross entropy thresholding for seal image based on 2-dimensional histogram vertical is proposed. Exponential cross entropy threshold selection based on 2-dimensional histogram vertical was derived , its fast algorithm is given. A large number of experimental results show that exponential cross entropy thresholding for seal image based on 2-dimensional histogram vertical can achieve superior segmented results and greatly reduce the running time , in contrast with the maximum entropy method and the exponential entropy method.
