In the paper, a suppressed fuzzy c-means (S-FCM) algorithm, for intensity image segmentation, is proposed on the basis of the characters of FCM algorithm and intensity images.

该文根据FCM算法和灰度图像的特点，提出了一种适用于灰度图像分割的抑制式模糊C -均值聚类算法(S - FCM)。

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Then a new method merging area information and edge information, geometric deformable model with color and intensity priors for medical image segmentation, is proposed.

在此基础上提出了一种混合区域信息和边界信息的方法——基于融合颜色和强度先验信息的几何可变模型的医学图像分割算法。

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This paper proposes an iris detection method based on color segmentation. To a localized eye image, color images contain more information helpful for detecting irises than intensity images.

提出了一种基于彩色分割的虹膜检测方法，对于一幅经过准确定位的眼睛窗口图像，它的彩色信息比灰度信息更有助于进行虹膜检测。

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