Article Type
Original Study
Abstract
Image processing may be made more accurate and efficient with the use of optical processing technologies. In order to make better design judgments early in the package design process, visual packaging art simulation aims to swiftly develop realistic packaging effects. Conventional simulation techniques frequently yield findings that are neither realistic or detailed, and they also take a lot of time and human resources. Optical processing-based machine vision technology can fully utilize computer vision and image processing techniques to simulate package designs accurately and efficiently. This research proposes a foundation for machine vision technologies based on image optical processing. Real package pictures are captured using high-resolution cameras during the image collection stage, and during the optical processing step, algorithms are employed to enhance and reduce noise and analyze fine details in the images. After that, advanced image processing techniques are used to accurately extract and analyze the main features of the design.
Keywords
Computer Vision, Geometric properties, Posture, Motion, Human visual functions, Visual packaging art design, Machine learning algorithms
Recommended Citation
AL-Ghadhbawi, Isam Sadiq Rasham
(2024)
"Designing A Visual Control Framework Based on Feature Point Analysis to Guide Robots in Uncharted Areas,"
Al-Esraa University College Journal for Engineering Sciences: Vol. 6:
Iss.
10, Article 3.
DOI: https://doi.org/10.70080/2790-7732.1052
Included in
Biomedical Engineering and Bioengineering Commons, Chemical Engineering Commons, Civil and Environmental Engineering Commons, Computer Engineering Commons, Materials Science and Engineering Commons, Mechanical Engineering Commons