北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2022, Vol. 45 ›› Issue (4): 133-139.

• 其他 • 上一篇    

基于颜色模型极小值运算的细胞图像分割算法

雷雨1,张丽娟2,汤鹏1,胡淼1,李东明1   

  1. 1. 吉林农业大学
    2. 长春工业大学
  • 收稿日期:2021-09-26 修回日期:2021-11-24 出版日期:2022-08-28 发布日期:2022-06-26
  • 通讯作者: 李东明 E-mail:ldm0214@163.com
  • 基金资助:
    国家自然科学基金青年科学基金项目;吉林省教育厅科研项目;吉林省环保厅项目

Cell Image Segmentation Algorithm Based on Minimum Operation of Color Model

  • Received:2021-09-26 Revised:2021-11-24 Online:2022-08-28 Published:2022-06-26

摘要: 为了能够快速准确的对人类细胞的形态及增殖分化等情况进行检测,评价患者健康状况,提出了一种基于颜色模型极小值运算的高效自适应细胞图像分割方法,首先提取了图像HSV通道中特征明显的S分量图像,并使用形态学重构、H-minima技术和图像增强技术来对S分量图像进行梯度修正;在图像的梯度得到修正后,使用分水岭算法对图像进行分割;并根据原图像灰度的一致性对分割结果进行区域合并得到背景、细胞与细胞核三个部分,最后使用形态学后处理去除合并结果中的虚假噪点并平整区域边缘。对细胞图像进行分割测试的实验结果表明:细胞与细胞核分割的准确度分别为0.9788和0.9677;Dice系数分别为0.9388和0.9370,实现了对医学显微细胞图像的精准分割。

关键词: 分水岭, 形态学重构, H-minima, 区域合并, 细胞图像

Abstract: To be able to quickly and accurately detect the morphology, proliferation, and differentiation of human cells, and evaluate the health of patients, an efficient adaptive cell image segmentation method based on the minimum operation of the color model is proposed. First, extract the S-component image with obvious characteristics in the HSV channel of the image, and use morphological reconstruction, H-minima technology, and image enhancement technology to perform gradient correction on the S-component image; after the gradient of the image is corrected, use the watershed algorithm to perform Segmentation: After the segmented image is obtained, the segmentation result is merged according to the gray level consistency of the original image to obtain the background, cell, and nucleus. Finally, post-morphological processing is used to remove the false noise in the merged result and flatten the edge of the region. The results of the segmentation test on cell images show that the accuracy of cell and cell nucleus segmentation is 0.9788 and 0.9677, respectively. The Dice coefficients are 0.9388 and 0.9370, which realizes the accurate segmentation of medical micro cell images.

Key words: Watershed, Morphological reconstruction, H-minima, Regional merger, Cell Image

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