Thresholding is a basic step to convert a gray scaled image into a binary image using a specific threshold value. To find this threshold value is the most critical part. Assume that we have designed abasic algorithm to calculate adaptive threshold T$.$ Algorithm for computing T is$1.$ Use initial threshold to put input image gray levels into two bins $($classes$)2.$ Compute Global mean $($Mc$)$ for whole image, local means $($mi and m$2)$ and scatters $(1$ and S$2)$ for bothbins$3.$ Compute between class mean $($MB$)$ and scatter $($S$)$ using abs$($m$1-$ m$2)$ and abs$(51-52)4.$ Compute new T using T $=$ MB $+$ S$5.$ Repeat steps $(1-4)$ to find such T which maximizes the product of Me and $5$You are given a $5$x$5$ image in fig$\mathrm{.}3.$ Assume initial T $=100.$ Run one iteration of above mentioned algorithmto find T and draw binary image after first iteration. Show all steps of your processing.Figure$-31070110|7811521045515165209245187713510195205199201$