A Methodology to Locate Image Falsification Using Adaptive Segmentation and Feature Extraction-Reference-Cited by-同舟云学术

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A Methodology to Locate Image Falsification Using Adaptive Segmentation and Feature Extraction

Published:2022-12-28 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)
language:
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Author:

Parameswaran T.¹,Kaushik S.²,Yogesh ³

Affiliation:

1. CMR University,Dept.of CSE, SoET,Bangalore,India

2. Faculty of Science and Technology, The ICFAI Foundation for Higher Education,Department of CSE,Hyderabad,India

3. Chitkara Institute of Engineering and Technology, Chitkara University,Department of CSE,Punjab,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10059457/10059586/10059953.pdf?arnumber=10059953

Reference29 articles.

1. Advanced Intelligent Predictive Models for Urban Transportation

2. Exposing Postprocessed Copy–Paste Forgeries Through Transform-Invariant Features

3. Image segmentation using multilevel graph cuts and graph development using fuzzy rule‐based system

4. An efficient copy move forgery detection using adaptive watershed segmentation with AGSO and hybrid feature extraction

5. Machine Learning and Deep Learning Based Computational Approaches in Automatic Microorganisms Image Recognition: Methodologies, Challenges, and Developments;rani;Archives of Computational Methods in Engineering,2021

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