Image Filtering is a technique to improve the quality of the Images to analyze image that helps to enhance visual effect of people, detect features within images, to reduce noise, sharpening, blurring, edge detection, and more. Here two types of filter (e.g., Average and Median Filter) are used. The average filter calculates the average value of the pixels within a predefined window or kernel size (e.g., (3 × 3), (5 × 5)). The main goal of the average filter is to smooth the image by reducing the intensity variations between adjacent pixels. The main aim of Filter is to concentrate particular region by blurring its surrounding. The median filter sorts the pixel values within a predefined window or kernel and replaces the center pixel with the median value of those pixels. The median filter is effective in reducing impulse noise, also known as salt-and-pepper noise, where some pixels are significantly different from their surroundings. Median filter also fills the holes and reserve the edge details and count values of holes from the labeling step (bwlabel) that can be used to count cells or other structures within an image. Here Median filter works as nonlinear filter and Average filter works as linear filter. If suddenly spike is appeared, average or mean will be corrupted by particular negative value. But applying median there is no chance for huge changes and gives steady output after filtering.