关键词: 目标检测, 白细胞分割, 阈值分割算法, GrabCut算法

Abstract: White Blood Cell（WBC） segmentation is an important and challenging issue in the cell morphology. This paper proposes an efficient approach for WBC segmentation based on the method of objection detection. In detail, it first uses the method of object detection to locate WBC, and gets a sub-image containing the complete WBC according to this location information. Then, it obtains the threshold of sub-image’s gray histogram using the method of polynomial fitting, and segments WBC nuclear from the sub-image. This approach can effectively avoid the interference from the red blood cell and background, and it is easy to estimate the threshold. In the meanwhile, it segments WBC cytoplasm by means of treating the image window as the “trimap” in the GrabCut algorithm to minimize the manual intervention. Some experimental results show that the proposed algorithm can exactly detect WBC, and it can get a higher segmentation accuracy and better effect than some existing methods. Especially, in the experiments on the Cellavision dataset, it can not only effectively segment WBCs which is got from different types, dyes, and shoot situations, but also achieve a higher robustness.

Key words: object detection, white blood cell segmentation, thresholding, GrabCut algorithm