Zagazig University Digital Repository
Home
Thesis & Publications
All Contents
Publications
Thesis
Graduation Projects
Research Area
Research Area Reports
Search by Research Area
Universities Thesis
ACADEMIC Links
ACADEMIC RESEARCH
Zagazig University Authors
Africa Research Statistics
Google Scholar
Research Gate
Researcher ID
CrossRef
2-Levels of clustering strategy to detect and locate copy-move forgery in digital images
Faculty
Computer Science
Year:
2020
Type of Publication:
ZU Hosted
Pages:
Authors:
Mohammed Abdel Basset Metwally Attia
Staff Zu Site
Abstract In Staff Site
Journal:
MULTIMEDIA TOOLS AND APPLICATIONS springer
Volume:
Keywords :
2-Levels , clustering strategy , detect , locate copy-move
Abstract:
Understanding is considered a key purpose of image forensic science in order to find out if a digital image is authenticated or not. It can be a sensitive task in case images are used as necessary proof as an impact judgment. it's known that There are several different manipulating attacks but, this copy move is considered as one of the most common and immediate one, in which a region is copied twice in order to give different information about the same scene, which can be considered as an issue of information integrity. The detection of this kind of manipulating has been recently handled using methods based on SIFT. SIFT characteristics are represented in the detection of image features and determining matched points. A clustering is a key step which always following SIFT matching in-order to classify similar matched points to clusters. The ability of the image forensic tool is represented in the assessment of the conversion that is applied between the two duplicated images of one region and located them correctly. Detecting copy-move forgery is not a new approach but using a new clustering approach which has been purposed by using the 2-level clustering strategy based on spatial and transformation domains and any previous information about the investigated image or the number of clusters need to be created is not necessary. Results from different data have been set, proving that the proposed method is able to individuate the altered areas, with high reliability and dealing with multiple cloning.
Author Related Publications
Mohammed Abdel Basset Metwally Attia, "Discrete greedy flower pollination algorithm for spherical traveling salesman problem", Springer, 2019
More
Mohammed Abdel Basset Metwally Attia, "A New Hybrid Flower Pollination Algorithm for Solving Constrained Global Optimization Problems", Natural Sciences Publishing Cor., 2014
More
Mohammed Abdel Basset Metwally Attia, "A novel equilibrium optimization algorithm for multi-thresholding image segmentation problems", Springer London, 2021
More
Mohammed Abdel Basset Metwally Attia, "An efficient binary slime mould algorithm integrated with a novel attacking-feeding strategy for feature selection", Pergamon, 2021
More
Mohammed Abdel Basset Metwally Attia, "An efficient teaching-learning-based optimization algorithm for parameters identification of photovoltaic models: Analysis and validations", Pergamon, 2021
More
Department Related Publications
Heba Zaki Mohamed Abdallah Elfiqi, "A computational linguistic approach for the identification of translator stylometry using Arabic-English text", IEEE, 2011
More
Heba Zaki Mohamed Abdallah Elfiqi, "Measuring Complexity of Mouse Brain Morphological Changes Using GeoEntropy", AIP Publishing, 2009
More
Mohammed Abdel Basset Metwally Attia, "Training Feedforward Neural Networks Using Symbiotic Organisms Search Algorithm", Computational Intelligence and Neuroscience, 2016
More
Mohammed Abdel Basset Metwally Attia, "Solving systems of nonlinear equations via conjugate direction flower pollination algorithm", inderscience, 2017
More
Mustafa Khamis Baz Ramadan, "An Efficient method for choosing most suitable cloud storage provider reducing top security risks based on multi-criteria neutrosophic decision making", An Efficient method for choosing most suitable cloud storage provider reducing top security risks based on multi-criteria neutrosophic decision making, 2017
More
جامعة المنصورة
جامعة الاسكندرية
جامعة القاهرة
جامعة سوهاج
جامعة الفيوم
جامعة بنها
جامعة دمياط
جامعة بورسعيد
جامعة حلوان
جامعة السويس
شراقوة
جامعة المنيا
جامعة دمنهور
جامعة المنوفية
جامعة أسوان
جامعة جنوب الوادى
جامعة قناة السويس
جامعة عين شمس
جامعة أسيوط
جامعة كفر الشيخ
جامعة السادات
جامعة طنطا
جامعة بنى سويف