作　　者： (岳雅茹）; (朱嘉林）;

机构地区： 北京信息科技大学自动化学院,北京100101

出　　处： 《软件导刊》 2017年第9期72-74,78,共4页

摘　　要： 目前,OpenCV函数库的应用越来越广泛,将其运用到数字图像处理中解决一些图像处理问题,能够提高图像处理的有效性。而常用的大津算法容易造成图像细节丢失的问题,为了解决这些问题对大津算法进行了改进,使其能够在不均匀光照、图像模糊的情况下很好地对图像目标进行分割,结果准确,实现简单。使用OpenCV函数库实现一个指纹提取算法,该算法利用改进后的大津算法得到最佳阈值,用最佳阈值对图片进行分割处理。利用面向对象Vc++6.0编程工具进行仿真实验,结果表明,基于OpenCV函数库的指纹提取算法是有效的,提高了指纹提取的准确性,贴近真实图像。 At present, OpenCV {unction library isapplied more and more widely, and it is used in digital image processing to solve some problems of image processing, and it can improve the effectiveness of image processing. Commonly it i2 easy to ;ause the loss of image detail for the Otsu method, in order to solve these problems the Otsu method is improved. In the case of uneven il lumination and blurred image, it can segment the target, and the result is accurate and simple. A fingerprint extraction algo rithm is achieved using the OpenCV functions. The algorithm uses the Otsu algorithm improved to get the best threshold that it can segment image. Simulation experiment is carried out by using object-oriented Vc＋ ＋6.0 programming tools, and it proves that the fingerprint extraction algorithm based on OpenCV function library is effective. It can improve the accuracy of fingerprint extraction, and image likes real image. Give some code.

关 键 词： 指纹提取 最佳阈值