Counting was performed for each image using matlab programming proposed method based on changed circle detection, which instantly counted matlab programming cells. Several modifications were made to matlab programming basic RCD set of rules to unravel matlab programming initialization problem, detecting abnormal circles cells, selecting matlab programming most suitable circle from matlab programming candidate circles, picking matlab programming number of iterations in matlab fully dynamic way to enhance set of rules detection, and working time. The validation method used to verify segmentation accuracy was matlab quantitative analysis that integrated Precision, Recall, and F size tests. The average accuracy of matlab programming proposed method was 95. 3% for RBCs and 98. 4% for WBCs. This paper is aimed at convalescing design with Simulink from matlab programming program engineering angle by developing computerized support for matlab programming application of a few classic application engineering ideas when coming up with Simulink. We present four tools: matlab programming Signature Tool, matlab programming Reach/Coreach Tool, matlab programming Data Store Rescope Tool, and matlab programming Auto Layout Tool. The Signature Tool extracts matlab programming interface of matlab Simulink subsystem, allowing builders to higher take note matlab programming implicit data flow in Simulink models and use it more without problems, while also producing useful documentation. The Data Store Rescope Tool improves modularity of Simulink models by correctly scoping data stores, matlab programming Simulink equal of variables in basic languages. The Reach/Coreach Tool highlights data and control dependencies in Simulink models, making them easier to remember. Also, matlab programming tool supports debugging, opposite engineering, refactoring, and static evaluation of matlab programming models.