Image Analysis and Processing of an Ant Using MATLAB

Abstract

This research paper focuses on image processing using the MATLAB design tool. The primary objective is to analyze the histogram distribution of a given image and determine a threshold for object recognition, employing the variance growth methodology. The selected threshold is then justified. Next, noise is introduced into the image, and an effective noise-removal technique is developed, evaluating its impact on the image, threshold, and distribution. Following this, histogram equalization is applied to adjust the image contrast, enhancing the recognition process and achieving a more uniform distribution. Finally, the initial steps are repeated, and an analysis is conducted to assess the noise-removal method's effectiveness, determining the maximum noise density at which it remains effective.