Digital Image Processing



EOI: 10.11242/viva-tech.01.05.163

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Citation

Bharat Verma, Shubham Pandey, "Digital Image Processing", VIVA-IJRI Volume 1, Issue 5, Article 163, pp. 1-6, 2022. Published by Computer Engineering Department, VIVA Institute of Technology, Virar, India.

Abstract

In this paper, the fundamentals of shooting images, photograph processing to regulate and beautify the photograph are discussed. There are many programs of photograph processing like surveillance, navigation, and robotics. Robotics is a thrilling subject and guarantees destiny improvement so it's far the selected instance to explain the numerous components concerned in photograph processing. The numerous photograph processing strategies are defined in short and benefits and drawbacks are listed. Countless special exercises may be used for a whole lot of purposes. However, sure essential strategies along with convolution mask may be implemented to many lessons of exercises. We have focused on this technique, which allows us to adapt, develop, and use different exercises and strategies, and programs. The advances in the era have created exquisite possibilities for visible structures and photograph processing. There isn't any doubt that fashion will maintain in destiny.

Keywords

Compression, Digital Image processing, Edge Detection, Manipulation, Pixels, Segmentation

References

  1. N. Petrellis, "A smartphone image processing application for plant disease diagnosis." In Modern Circuits and Systems Technologies (MOST), 2017 6th International Conference on, IEEE 2017, pp. 1-4.
  2. V. Kumar, T. Lal, P. Dhuliya, and Diwaker Pant. "A study and comparison of different image segmentation algorithms." In Advances in Computing, Communication, & Automation (ACCA)(Fall), International Conference on, IEEE 2016, pp. 1-6.
  3. R. Radha, and S. Jeyalakshmi. "An effective algorithm for edges and veins detection in leaf images." In Computing and Communication Technologies (WCCCT), 2014 World Congress on, IEEE 2014, pp. 128-131.
  4. Y. Fang, X. Wang, P. Shi, C. Lin, and R. Zhai. "Automatic identification of two growth stages for rapeseed plant: Three leaves and Four-leaf stage." In Agro-Geoinformatics (Agro-geoinformatics), 2015 Fourth International Conference on, IEEE 2015, pp. 148- 153.
  5. V. Singh and A. K. Misra. "Detection of the unhealthy region of plant leaves using Image Processing and Genetic Algorithm." In Computer Engineering and Applications (ICACEA), 2015 International Conference on Advances in, IEEE 2015, pp. 1028-1032.
  6. A. Le Bris, T. Francois, and C. Nesrine, "Contribution of texture and the red-edge band for vegetated areas detection and identification." In Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International, IEEE, 2013 pp. 4102-4105.
  7. Acuña, R. G. Gonzalez, Junli Tao, and Reinhard Klette. "Generalization of Otsu's binarization into recursive color image segmentation." In Image and Vision Computing New Zealand (IVCNZ), 2015 International Conference on, IEEE, 2015 pp 1-6.
  8. S. K. Tichkule and D. H. Gawali. "Plant diseases detection using image processing techniques." In Green Engineering and Technologies (IC-GET), 2016 Online International Conference on, pp. 1-6. IEEE, 2016.
  9. H. Chi, C. Jian, C. Wu, J. Zhu, X. Wang, and C. Liu. "Scaffolding progress monitoring of LNG plant maintenance project using BIM and image processing technologies." In Research and Innovation in Information Systems (CRISIS), 2017 International Conference on, pp. 1-6. IEEE, 2017.
  10. N. Senthilkumaran, and R. Rajesh. "Edge detection techniques for image segmentation–a survey of soft computing approaches." International journal of recent trends in engineering 1, no. 2 (2009): 250-254.
  11. A. Devbrat, and J. Jha. “A Review on Content-Based Image Retrieval Using Feature Extraction ” International Journal of Advanced Research in Computer Science and Software Engineering Volume3, March 2016.
  12. L. H. Thai, T. S. Hai, Nguyen Thanh Thuy . “Image Classification using Support Vector Machine and Artificial Neural Network” International Journal on Information Technology and Computer Science,2012, 5, 32-38.
  13. S. Tharani and L. Sankari. “A Study on Image Segmentation Using Different Types of K-Means Clustering” International Journal of Advanced Research in Computer Science and Electronics Engineering (IJARCSEE) Volume 33, December 2015s