CAJ | 학술논문

目的：探讨一种能有效分割宫颈癌粘连细胞图像的算法，完成各粘连细胞边缘的准确分割。方法利用水平集算法从背景区域中提取目标细胞图像，应用极小值的距离变换算法将图像归一化后与感兴趣区域的梯度图像点乘来抑制无用的梯度信息，然后运用标记分水岭算法对粘连细胞图像进行分割。结果与结论实验结果表明，该算法实现了染色不均的粘连宫颈癌细胞的有效分割，在粘连细胞的边缘建立了较传统的分水岭分割方法更准确的分割线，具有显著的临床应用价值。
목적：탐토일충능유효분할궁경암점련세포도상적산법，완성각점련세포변연적준학분할。방법이용수평집산법종배경구역중제취목표세포도상，응용겁소치적거리변환산법장도상귀일화후여감흥취구역적제도도상점승래억제무용적제도신식，연후운용표기분수령산법대점련세포도상진행분할。결과여결론실험결과표명，해산법실현료염색불균적점련궁경암세포적유효분할，재점련세포적변연건립료교전통적분수령분할방법경준학적분할선，구유현저적림상응용개치。
Objective To investigate an effective algorithm for image segmentation in cervical cancer cell adhesion , which enables accurate segmentation of the contour of adherent cells .Methods The images of target cells were extracted from the background area using level set methods , normalized with minimum values of transformation algorithms ,and multi-plied by the gradient image points in the region of interest ( ROI) to inhibit the undesired gradient information before the im-ages of adherent cells were segmented using labeled watershed algorithm .Results and Conclusion Compared to conven-tional watershed segmentation methods , this algorithm is not only effective in image segmentation of adherent cervical cancer cells with uneven staining and more accurate segmentation lines established around the contours of adherent cells , but of high clinical value .