
Single-Camera Computer Vision Algorithm for Robot Shortest Path Estimator using morphological structuring element with variable sizes
Author(s) -
Sami Hasan,
Naeem Akhtar,
Shereen S. Jumaa
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i2.28.12937
Subject(s) - structuring element , computer science , computer vision , robot , structuring , estimator , artificial intelligence , shortest path problem , dilation (metric space) , path (computing) , algorithm , motion planning , image (mathematics) , image processing , mathematical morphology , mathematics , theoretical computer science , graph , statistics , finance , combinatorics , economics , programming language
The robotic challeng of developing and implementing a shortest-path finding algorithm to reach a destination without bumping into obstacles has been tackled in this paper. The proposed algorithm is utilized a single ceiling fixed camera and based on the mask and robot size with different sizes for dilation mask. The implementation has been successfully produced thirty-three computer vision figures and two comparison tables of simulation results by using morphological structuring element with different sizes. This paper’s proposal of optimal path finding algorithm is effeciently save robot energy in reaching targets.