Abstract
The search for the most outstanding smartphone camera has been a frequent topic of conversation in the ever-changing world of technology. Through a thorough analysis, this study seeks to recommend the best smartphone camera. Pictures from rival phones were captured in various categories and thoroughly compared. From an engineering standpoint, our approach clarifies why specific images are better than others. Success in one area does not always translate to success in another. Furthermore, our study adds to the current conversation about Apple and Samsung's rivalry in the mobile device industry. Even though this competition has received much attention, previous studies have noticeably lacked a critical technical viewpoint on picture analysis. Our study paper examines the image processing capabilities of Samsung and Apple devices using sophisticated techniques such as marker-controlled watershed segmentation, texture segmentation, and color-based Segmentation in the Lab color space. Our research reveals notable differences in these industry leaders' image analysis performance. This realization provides consumers with helpful knowledge and acts as a guide for upcoming advancements in the industry. Through the investigation of this study, users, developers, and manufacturers may now compare Apple and Samsung smartphones in a more unbiased and knowledgeable manner, obtaining a better comprehension of each device's capabilities.
Original language | English |
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Title of host publication | 2023 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI) |
Publisher | IEEE |
ISBN (Electronic) | 9798350373363 |
ISBN (Print) | 9798350373370 |
DOIs | |
Publication status | Published - 18 Jul 2024 |
Event | 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence - Zarqa, Jordan Duration: 27 Dec 2023 → 28 Dec 2023 https://eiceeai.zu.edu.jo/ (Link to conference website) |
Publication series
Name | International Engineering Conference on Electrical, Energy, and Artificial Intelligence |
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Publisher | IEEE |
ISSN (Print) | None |
Conference
Conference | 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence |
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Abbreviated title | EICEEAI 2023 |
Country/Territory | Jordan |
City | Zarqa |
Period | 27/12/23 → 28/12/23 |
Internet address |
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Keywords
- Apple vs Samsung camera performance
- Computational photography
- Image processing capabilities
- Image quality analysis
- Mobile photography
- Smartphone camera comparison
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Science Applications
- Computer Vision and Pattern Recognition
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering
- Health Informatics