A commixed modified Gram-Schmidt and region growing mechanism for white blood cell image segmentation

A modified Gram-Schmidt orthogonalisation method has been commixed with a region growing method for efficient white blood cell image segmentation. The modified Gram-Schmidt method is used to segment the nucleus of white blood cells, while the region growing method is employed to segment the cytoplasm of white blood cells. To evaluate the performance of WBC image segmentation, the 100 samples of the microscopic WBC images is used. The segmentation results from the proposed mechanism are compared with manually segmented images, which are considered to be the correct segmentation result. Accuracy of the results reaches 95.21% and 92.31% for the Lymphocyte and Neutrophil cell types for the modified Gram-Schmidt and region growing methods, respectively. The results suggest that the proposed mechanism could be used for WBC classification in other applications such as cancer diagnosis.