Fig. 7
From: Threshold estimation based on local minima for nucleus and cytoplasm segmentation
WBC and cytoplasm segmentation steps. From the left, First column: input images, Second column: Reconstructed images and then binarized using estimated threshold \({\tilde{\varepsilon }}_{t}\) for nucleus segmentation. Third column: Segmented nucleus after post-processing. Fourth column: Reconstructed images after averaging different thresholded images. Fifth column: Assigning new labels to the objects and removing some objects. Sixth column: Segmented WBC using a single-pixel value location from the segmented nucleus. Seventh column: Segmented nucleus and cytoplasm. From top to down: the first row is the neutrophil, the second row is the eosinophil, the third row is the monocyte, the fourth row is the lymphocytes