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AN EFFICIENT SEGMENTATION METHOD FOR MILK SOMATIC CELL IMAGES

机译:牛奶体细胞图像的有效分割方法

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摘要

The accurate segmentation of milk somatic cells in microscope images may contribute to development of a successful system that automatically analyzes, detects and counts cells in microscope images. We present a method for milk somatic cell Segmentation. Our approach is based on segmentation of subsets of bands using mathematical morphology followed by the fusion of the resulting segmentation "channels". For color images, the band subsets are chosen as RG, RB and GB pairs. The segmentation in 2D color spaces is obtained using the watershed algorithm. These 2D segmentations are then combined to obtain a final result using a region split-and-merge process. Milk somatic cell images are segmented, and background, nucleus and cytoplasm can be extracted correctly. The most important feature of this method is the improved performance.
机译:显微镜图像中牛奶体细胞的准确分割可能有助于开发成功的系统,该系统可以自动分析,检测和计数显微镜图像中的细胞。我们提出了一种牛奶体细胞分割的方法。我们的方法基于使用数学形态学对频带子集进行分割,然后对所得分割“通道”进行融合。对于彩色图像,将波段子集选择为RG,RB和GB对。使用分水岭算法可在2D颜色空间中进行分割。然后使用区域拆分和合并过程将这些2D分割合并以获得最终结果。分割牛奶的体细胞图像,可以正确提取背景,细胞核和细胞质。此方法的最重要特征是提高了性能。

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