At this level, white blood cells are extracted as engineering separate image, and matlab red blood cells have varying intensities; therefore, matlab is leading to develop separate preprocessing steps for each cell type. Figure 2 shows matlab basic preprocessing steps for WBCs. To eradicate RBCs from matlab picture, matlab RGB image was transformed into grayscale picture by removing matlab Hue and saturation guidance while preserving its luminance, as shown in Figure 3b, after which transformed matlab picture to binary using thresholding employing engineering threshold value 64; visualize matlab WBCs, as proven in Figure 3c. Some undesired holes appeared in matlab cells, and matlab morphology operator, fill holes were used to get rid of them. The complementary photos beforehand matlab holes were crammed, as shown in Figure 3d. This picture eroded to reduce matlab number of overlapping cells, as shown in Figure 4a. McCluskey, engineering 2004 “Schooling: engineering Sustainable Learning Organisation?,” ERNIST project available at RNIST%20Project/schooling. pdf 2. SEIRTEC 2007 “Factors that Affect matlab Effective Use of Technology for Teaching and Learning Lessons Learned from matlab SEIRTEC Intensive Site Schools,” SouthEast Initiatives Regional Technology in Education Consortium, 2007. 3. Johnston, J and Barker, LT 2002 “Assessing matlab Impact of Technology in Teaching and Learning, engineering Sourcebook for Evaluators,” Institute for Social Research, University of Michigan, . Available: echSbk.