Colour image enhancement techniques for acute Leukaemia blood cell morphological features

Image enhancement plays an important role in computer vision and image processing. In this paper, image enhancement was used to eliminate the background noise and improve the image quality for the purpose of determining the focal areas such as nucleus, Auer rode and nucleoli in acute leukaemia images. In this paper, the use of three contrast enhancement techniques for colour images using RGB components is proposed. The three contrast enhancement techniques are partial contrast, bright stretching and dark stretching. The contrast enhancement techniques enhance the morphological features of acute leukaemia images to ease the leukaemia classification between Acute Lymphoblastic Leukaemia (ALL) and Acute Myelogenous Leukaemia (AML). The results show that partial contrast is the best technique that helps to improve the image visibility while preserving the significant features of acute leukaemia images. Hence, the resultant images would become useful to Hematologists for further analysis of acute leukaemia.