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)。
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。
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。
The experiments indicate that the overlap of regional intensity ranges in image is obstacle to correct image segmentation, and image smoothing can eliminate or weaken its impact.
实验表明图像灰度重叠是实现正确分割的障碍，图像平滑可以消除或减弱它的影响。
This paper proposes an image dense match method using scanline segmentation based on the analysis of pixel intensity on scanline.
在分析相关视图扫描线特征的基础上，提出了一种基于扫描线分段图像稠密匹配方法。
A comparison of FCM and KFCM-II algorithm with application in MRI image segmentation has been presented, and a discussion on the effect of intensity bias field correction in KFCM-II algorithm given.
对FCM和KFCM - II算法应用于MRI图像分割进行了比较，讨论了在这两种算法中应用灰度有偏场纠正的效果。
A comparison of FCM and KFCM-II algorithm with application in MRI image segmentation has been presented, and a discussion on the effect of intensity bias field correction in KFCM-II algorithm given.
对FCM和KFCM - II算法应用于MRI图像分割进行了比较，讨论了在这两种算法中应用灰度有偏场纠正的效果。
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