摘要： 利用数学形态学变形虫法进行指纹图像分割时计算量大，导致分割速度变慢。针对该问题，提出一种将数学形态学变形虫法和离散小波变换相结合的指纹图像快速分割方法。先对原始图像进行小波分解，再对获取的低频图像采用形态学变形虫分割。实验结果表明，该方法在保证良好分割精度的同时分割速度较快。

关键词: 数学形态学, 变形虫, 自适应分割, 离散小波变换, 指纹分割

Abstract: Mathematical morphology amoebas method can segment the fingerprint, but the run speed is slow for the large computation. Aiming at this problem, this paper proposes a fast segmentation method of fingerprint image based on the mathematical morphology amoebas and Discrete Wavelet Transform(DWT). It uses the wavelet decomposition, and segments the low frequency image using morphology amoebas. Experimental results show that this method ensures good segmentation accuracy and realizes the fast segmentation of fingerprint image.

Key words: mathematical morphology, amoebas, self-adaptive segmentation, Discrete Wavelet Transform(DWT), fingerprint segmentation

中图分类号: 

• TP393