Unravelling the Impact of AI: Insights into Pattern Recognition and Image Processing

Year : 2024 | Volume :11 | Issue : 01 | Page : 1-7
By

    Shilpi Saxena

  1. Prajakta Suryakant Mandlik

  2. Jagruti Ajit Bharambe

  3. Mritunjay Kr. Ranjan

  1. Assistant Professor, School of Computer Science and Engineering, Sandip University, Nashik, Maharashtra, India
  2. Assistant Professor, School of Computer Science and Engineering, Sandip University, Nashik, Maharashtra, India
  3. Assistant Professor, School of Computer Science and Engineering, Sandip University, Nashik, Maharashtra, India
  4. Assistant Professor, School of Computer Science and Engineering, Sandip University, Nashik, Maharashtra, India

Abstract

Apart from its academic origins, the evolution of Artificial Intelligence (AI) has emerged as a notable influence in shaping our daily experiences. Artificial intelligence, which focuses on domains such as image processing and pattern recognition, encompasses a vast array of topics, including its complex applications, obstacles, and societal repercussions. Machine Learning, Natural Language Processing, Computer Vision, Robotics, Expert Systems, Knowledge Representation, and AI Ethics are among the domains in which AI’s utility is investigated in research endeavors. This extensive investigation provides professionals with the analytical tools necessary to tackle complex issues from various angles, especially valuable in mission-critical fields such as healthcare and others. This study serves as a prerequisite for further exploration of the complex and ever-evolving domain of artificial intelligence by furnishing a fundamental comprehension. This statement highlights the significant impact that artificial intelligence (AI) has on modern society, exemplified by its effectiveness in image processing and pattern recognition. The progressive development of AI has far-reaching effects on various sectors, enhancing productivity, ingenuity, and the quality of decision-making. Furthermore, the pervasiveness of this technology prompts ethical dilemmas that must be navigated in light of its integration into every aspect of human existence. The advancement of AI represents a fundamental change in perspective, surpassing mere theoretical discussions and emerging as an essential influence on our everyday lives. The process of developing and executing this AI system highlights its significant consequences, emphasizing the need for ongoing investigation and responsible ethical management to exploit its capabilities for the benefit of all.

Keywords: Pattern recognition, expert system, image processing, artificial intelligence, computer vision, machine learning, natural language processing

[This article belongs to Journal of Image Processing & Pattern Recognition Progress(joipprp)]

How to cite this article: Shilpi Saxena, Prajakta Suryakant Mandlik, Jagruti Ajit Bharambe, Mritunjay Kr. Ranjan.Unravelling the Impact of AI: Insights into Pattern Recognition and Image Processing.Journal of Image Processing & Pattern Recognition Progress.2024; 11(01):1-7.
How to cite this URL: Shilpi Saxena, Prajakta Suryakant Mandlik, Jagruti Ajit Bharambe, Mritunjay Kr. Ranjan , Unravelling the Impact of AI: Insights into Pattern Recognition and Image Processing joipprp 2024 {cited 2024 Apr 03};11:1-7. Available from: https://journals.stmjournals.com/joipprp/article=2024/view=138418


References

  1. Mashrur A, Luo W, Zaidi NA, Robles-Kelly A. Machine learning for financial risk management: a survey. IEEE Access. 2020 Nov 5; 8: 203203–23.
  2. Ranjan M, Tiwari S, Sattar AM, Tatkar NS. A New Approach for Carrying Out Sentiment Analysis of Social Media Comments Using Natural Language Processing. Eng Proc. 2024 Jan 17; 59(1): 181.
  3. Voulodimos A, Doulamis N, Doulamis A, Protopapadakis E. Deep learning for computer vision: A brief review. Comput Intell Neurosci. 2018 Feb 1; 2018: 7068349.
  4. Kwan RS, Evans AC, Pike GB. MRI simulation-based evaluation of image-processing and classification methods. IEEE Trans Med Imaging. 1999 Nov; 18(11): 1085–97.
  5. Mohammed A, Wang L, Gao RX. Integrated image processing and path planning for robotic sketching. Procedia CIRP. 2013 Jan 1; 12: 199–204.
  6. Sattar AM, Ranjan MK, Singh G. Social, Emotional and Ethical (SEE) Attributes, Which Configures Our Bioinformatics Systems to Activate the Hidden Forces to Shape Human Decisions. In: Nature-Inspired Intelligent Computing Techniques in Bioinformatics. Singapore: Springer Nature Singapore; 2022 Nov 1; 175–202.
  7. Kazim E, Koshiyama AS. A high-level overview of AI ethics. Patterns. 2021 Sep 10; 2(9): 100314.
  8. Xiong W. Research on fire detection and image information processing system based on image processing. In 2020 IEEE International Conference on Advance in Ambient Computing and Intelligence (ICAACI). 2020 Sep 12; 106–109.
  9. Wajid M, Abdullah MW, Farooq O. Imprinted Braille-character pattern recognition using image processing techniques. In 2011 IEEE International Conference on Image Information Processing. 2011 Nov 3; 1–5.
  10. Saravanan S. Implementation of efficient automatic traffic surveillance using digital image processing. In 2014 IEEE International Conference on Computational Intelligence and Computing Research. 2014 Dec 18; 1–4.
  11. Ren F, Zhang X, Wang L. A new method of the image pattern recognition based on neural networks. In Proceedings of 2011 IEEE International Conference on Electronic & Mechanical Engineering and Information Technology. 2011 Aug 12; 7: 3840–3843.
  12. Liu Z, Qi J, Feng L, Feng L. Statistical pattern recognition for real-time image edge detection on FPGA. In 2014 IEEE 12th International Conference on Signal Processing (ICSP). 2014 Oct 19; 880–886.
  13. Haddad Z, Chen Y, Krahe JL. A pattern recognition approach to make accessible the geographic images for blind and visually impaired. In 2015 IEEE International Conference on Image Processing (ICIP). 2015 Sep 27; 3205–3209.
  14. Duan Y, Coatrieux G, Shu H. Identification of digital radiography image source based on digital radiography pattern noise recognition. In 2014 IEEE International Conference on Image Processing (ICIP). 2014 Oct 27; 5372–5376.
  15. Cheng Y, Li B. Image segmentation technology and its application in digital image processing. In 2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC). 2021 Apr 14; 1174–1177.
  16. Garg AK. Braille-8—The unified braille Unicode system: Presenting an ideal unified system around 8-dot Braille Unicode for the braille users world-over. In 2016 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS). 2016 Nov 6; 1–6.
  17. Mahmoud MA, Ren H. Forest fire detection and identification using image processing and SVM. J Inf Process Syst. 2019 Feb 1; 15(1): 159–68.
  18. Luo C, Hao Y, Tong Z. Research on Digital Image Processing Technology and Its Application. In2018 8th International Conference on Management, Education and Information (MEICI 2018). 2018 Dec; 587–592. Atlantis Press.

Regular Issue Subscription Review Article
Volume 11
Issue 01
Received February 16, 2024
Accepted February 17, 2024
Published April 3, 2024