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基于平滑阈值自适应算法的指纹图像分割算法
引用本文:李丽蓉,和小全.基于平滑阈值自适应算法的指纹图像分割算法[J].山西警官高等专科学校学报,2009,17(1):77-79.
作者姓名:李丽蓉  和小全
作者单位:1. 山西警官高等专科学校,山西,太原,030021
2. 山西省公安厅,山西,太原,030001
摘    要:在传统的图像分割算法中结合指纹图像的特点引入了平滑的思想,设计并实现了平滑阈值自适应算法,取得了良好的效果。它是根据指纹图像中每一部分的明暗度来调整闽值,每一块根据自己的阈值进行二值化。指纹的分割更加灵活准确,分割后的指纹前景边界也更加平滑细致。

关 键 词:指纹  阈值  图像分割

Fingerprint Segmentation Caculation Based on Smooth Threshold Self-adaption Caculation
LI Li-rong,HE Xiao-quan.Fingerprint Segmentation Caculation Based on Smooth Threshold Self-adaption Caculation[J].Journal of Shanxi Pollce Academy,2009,17(1):77-79.
Authors:LI Li-rong  HE Xiao-quan
Institution:1.Shanxi Police Academy;Taiyuan 030021;China;2.Shanxi Public Security Department;Taiyuan 030001;China
Abstract:The combination of traditional picture segmentation caculation and the character of fingerprint picture adding the thinking of smooth made the smooth threshold self-adaption caculation effectively.It changed the threshold based on the shadow degree of every part in the fingerprint picture and did the binarization according to the threshold.In the way,the segmentation of fingerprint is not only more flexible and accurate but also the prospects margin of the fingerprint more smooth.
Keywords:fingerprint  threshold  picture segmentation  
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