A Review : Plant Disease Detection Various Techniques

Authors

  • Manjeet Yadav  M Tech Scholar, Computer Science & Engineering, cMillennium Institute of Technology and Science, Bhopal, India
  • Dr. Susheel Kumar Tiwari  Associate Professor, Computer Science & Engineering, Millennium Institute of Technology and Science, Bhopal, India

Keywords:

Image Processing, Image Enhancement, Image Transformation

Abstract

Image processing is a dynamic and ever-evolving field with profound implications across various domains, from healthcare to entertainment, and from security to art. This review article provides a comprehensive overview of the key developments, challenges, and emerging trends in image processing as of the knowledge. The review begins by elucidating the fundamental concepts of image processing, covering topics such as image acquisition, enhancement, and transformation. It explores the evolution of image processing techniques from classical methods like histogram equalization to advanced deep learning-based approaches, highlighting the remarkable strides made in recent years in terms of accuracy and efficiency. A significant portion of this review is dedicated to the practical applications of image processing. It discusses the pivotal role of image processing in medical imaging, where it aids in diagnosis, treatment planning, and image-guided interventions. Furthermore, it delves into the impact of image processing in computer vision, enabling advancements in object detection, facial recognition, and autonomous vehicles. Challenges in image processing are addressed, including issues related to noise reduction, image segmentation, and real-time processing. The integration of artificial intelligence, particularly convolutional neural networks and generative adversarial networks, has revolutionized the field, allowing for automated feature extraction, style transfer, and image generation. The article concludes by forecasting the future of image processing, including potential breakthroughs in explainable AI for image analysis and the growing importance of ethical considerations in handling visual data. It emphasizes the necessity of interdisciplinary collaboration to tackle the complex challenges and opportunities that lie ahead.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2023-02-20

Issue

Volume 9, Issue 1, January-February-2023

Section

Research Articles

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How to Cite

[1]
Manjeet Yadav, Dr. Susheel Kumar Tiwari, " A Review : Plant Disease Detection Various Techniques" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 9, Issue 1, pp.287-292, January-February-2023.