Threshold segmentation method of microscopic image
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摘要: 针对细胞图像分割问题,考虑传统阈值分割方法的局限性,提出一种自适应局部阈值分割算法。该算法的基本思想是通过自适应阈值选取对每个像素确定以它为中心的一个邻域窗口，计算窗口内像素的最大和最小值，再取它们的均值为阈值，以此分割图像。分别用自适应阈值分割法和迭代阈值的图像分割方法实现图像分割，实验结果表明：自适应阈值分割法效果良好，具有鲁棒性。Abstract: To overcome the limitations of traditional threshold algorithm, an algorithm for adaptive segmentation is proposed. According to the basic concept of the algorithm, a window is defined for every pixel with itself as center, the maximum and minimum value of the pixels in the window are calculated and their average is used as the threshold for image segmentation. Two different image segmentation methods are used, adaptive threshoding and iterative threshoding. The experimental results show that adaptive threshoding achieves higher performance and robustness in practical applications.
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Keywords:
- cell image /
- image segmentation /
- threshold
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