Machine Intelligent System Algorithm to Recognize Different Shaped Color Targets

Authors

  • Duaa A. Taban
  • Ali Al-Zuky
  • Anwar H. Al-Saleh
  • Haidar J. Mohamad

Keywords:

computer vision, geometric shape recognition, target indexing

Abstract

Geometrical shape plays a vital role in computer vision applications. In this
study, a new suggested method used to detect geometric shapes (square and
circle) of different colors (red, green, and blue), and different arrangements
within the same input image. The introduced algorithm classified 256
tested input images at the same time and feedback the recognized index
number to each individual image. These tested images have different
details for the same color target by means occurrences like different in
orientation, position, and partially appeared shape. A new idea of indexing
number used to describe shape and color of input target images for all
possibility of occurrences. There were 42 possible arrangements of image
cases because of the color and shape targets that used in this study. The
introduced algorithm detects shape, and color with an accuracy of 100%

Downloads

Published

2020-10-18

How to Cite

A. Taban, D., Al-Zuky, A. ., H. Al-Saleh, . A. ., & J. Mohamad, H. (2020). Machine Intelligent System Algorithm to Recognize Different Shaped Color Targets . Mustansiriyah Journal for Sciences and Education, 20(3), 51–62. Retrieved from https://edumag.uomustansiriyah.edu.iq/index.php/mjse/article/view/617

Issue

Vol. 20 No. 3 (2019): Research Article

Section

Research Article

Most read articles by the same author(s)