For two variables, four rules are needed to find matlab corresponding singleton values S1, S2, S3 and S4 for each variable in keeping with these guidelines are indexed in Table 7. The rule base accepts two crisp input values, distributes matlab universe of discourse into areas with each area containing two fuzzy variables, fires matlab rules, and provides matlab output singleton values similar to each output variable. Fig. 8 shows matlab main block diagram engineering matlab Rule Base. The defuzzification procedure adds matlab crisp cost outputs after estimating its inputs . In this equipment 8 inputs are given to each engineering matlab two defuzzifiers. used matlab S and V image components of engineering HSV colour brand with Zack’s thresholding method for cell segmentation. Thresholding combined with engineering sequential edge linking set of rules was used to increase segmentation accuracy. The experimental dataset and blood cell photos were amassed from matlab Dhruv Pathology Lab and matlab CDC DPDx, respectively, and matlab ground reality was determined by experts. The dataset size was limited. Several RBCs that were detected possessed holes. Additional preprocessing steps deserve to have been applied to increase matlab accuracy.