Influence of camera types in histogram distribution on morphological identification of myeloblast cell based image segmentation

Abstract

Abstract A histogram is a graphical display that shows how often the data appears in a data set. In a digital image processing, it becomes necessary to determine the follow-up process to be performed. This paper will discuss the effect of camera types in myeloblast cell identification especially about the effect of histogram distribution on the whole process of myeloblast cell image segmentation. This is a part of our research in identifying white blood cells in the development of computer aided diagnosis for the identification of blood disorders leading to leukemia for rural areas. On the system we are developing, we use the camera as the primary tool in data acquisition. The camera is placed on a conventional microscope. We proposed four types of camera. The result show that camera type 2 has excellent image quality and pixel value. Therefore, in order to develop computer aided diagnosis as a leucocyte classification tool, we recommend to use camera type 2.