feature extraction; image denoising; image segmentation; mammography; medical image processing; pattern clustering; transforms; Mammographic Image Analysis Society; automatic segmentation; binary robust independent elementary features; histogram equalization limited contrast; image acquisition; image quality; image thresholding; k-means clustering algorithm; noise elimination; preprocessing step; radiologist; regions-of-interest; scale-invariant feature transform; Adaptive equalizers; Breast; Clustering algorithms; Electrical engineering; Feature extraction; Histograms; Noise; SIFT; image processing; mammogram; segmentation;
机译:基于图像分割的自动分类聚类自组织特征图和K-Means算法
机译:使用K-means聚类算法,从T2加权MRI的胸腰椎脊髓和椎管的全自动3D分割
机译:用于MRI脑肿瘤图像分割的改进的Gabor小波变换和粗k型聚类算法
机译:使用尺度不变特征变换和K-均值聚类算法自动分割乳房X线照片
机译:基于K均值的分水岭成像分割算法用于香蕉簇质量检测。
机译:分割视网膜血管的聚类算法K均值和模糊C均值的比较
机译:自动乳线图像图像乳房异常检测和定位基于K-Means和遗传算法方法的组合
机译:可重构硬件实现K均值聚类的算法变换