Image Analysis and Processing of an Ant Using MATLAB

المؤلفون

  • Hamed F alsalhin Saleh Department of Electrical and Electronic Engineering, College of Engineering Technologies Alqubbah, Libya
  • Fathalla I. Solman  Department of Electrical and Electronic Engineering, College of Engineering Technologies Alqubbah, Libya
  • Abdulbasit Abdulla AB Ali  Department of Electrical and Electronic Engineering, College of Engineering Technologies Alqubbah, Libya
  • Zead Hamed Abdullkarim  Department of Electrical and Electronic Engineering, College of Engineering Technologies Alqubbah, Libya

الكلمات المفتاحية:

Image processing، Histograms، Thresholding، Grey-scale، Noise removal

الملخص

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.

التنزيلات

منشور

2025-11-01

كيفية الاقتباس

Hamed F alsalhin Saleh, Fathalla I. Solman, Abdulbasit Abdulla AB Ali, & Zead Hamed Abdullkarim. (2025). Image Analysis and Processing of an Ant Using MATLAB. مجلة شمال إفريقيا للنشر العلمي (NAJSP), 3(4), 49–56. استرجع في من https://najsp.com/index.php/home/article/view/660

إصدار

القسم

محور العلوم التطبيقية والطبيعية