讨论了指纹图像分割。
提出基于灰度值频数和遍历八方向的指纹图像分割算法。
A fingerprint image segmentation algorithm based on frequency of gray scale and 8-direction image is proposed.
实验结果表明，该方法对这种类型的指纹图像分割是有效的。
The experimental results show that the method for this type of fingerprint image segmentation is effective.
提出了一种传统的指纹图像分割算法——方差法的改进算法。
An improved algorithm of the traditional fingerprint image segmentation algorithm-variance method is proposed.
指纹图像分割指从图像背景中分离出有用的指纹区域的过程。
The task of fingerprint segmentation is to isolate the fingerprint area from the image background.
本文提出了一种基于二维最大类间方差的指纹图像分割算法。
A fingerprint image segmentation method based on 2d maximum between-cluster variance is suggested in this paper.
另外，基于DCT变换提出了新的指纹图像分割算法和奇异点定位算法。
Furthermore, we extend the use of DCT, and give a new algorithm on image partition and singular points location.
算法中通过合理的运用图像灰度特性，以较低的计算代价有效地解决了指纹图像分割问题。
This algorithm solves the problem of fingerprint image segmentation with low computational cost based on reasonable application of the gray-level-statistics of fingerprint images.
针对传统的基于方差法的指纹图像分割法存在的问题，提出了一种改进的指纹图像分割算法。
Address the traditional variance-based method for fingerprint image segmentation problems, put forward an improved algorithm for fingerprint image segmentation.
指纹图像预处理的研究包含四个方面：图像分割、图像增强、二值化和细化。
In preprocessing of fingerprint image, four sides are discussed, including outline segmentation, filtering enhancement, segmentation binarization and thinning.
针对指纹图像提出了一种基于三角模融合算子的图像分割算法。
A novel segmentation method is proposed for fingerprint image based on triangle module operator.
通过合理地运用指纹图像的灰度特性，以较低的计算代价有效地解决了指纹图像的分割问题，从而使算法的处理效果好、运行速度快。
This paper proposes an algorithm, which by reasonable using the gray-level-statistics of fingerprint images, resolves the problem of fingerprint image segmentation with low computational cost.
具体实现的算法包括指纹的分割、方向场的提取和指纹图像的增强。
The algorithm used on division of fingerprints were a set of algorithm based on the intensity of Corner, which was proposed by a.
一般说来，残留脊线具有清晰的脊线结构，单单采用基于指纹图像的特征参数很难将其有效分割。
In general, remaining ridges are of clear structure. Which makes it difficult to identify remaining ridges from the interested regions merely by characteristic parameters of fingerprint image.
该方法能容易而准确地分割出背景区域和前景区域，适用于不同质量和不同级别的指纹图像。
The method can be easily and accurately separate the prospects for regional and regional context, applicable to the different quality and different levels image of the f...
该方法能容易而准确地分割出背景区域和前景区域，适用于不同质量和不同级别的指纹图像。
The method can be easily and accurately separate the prospects for regional and regional context, applicable to the different quality and different levels image of the f...
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