Applications of computer vision on automatic potato plant disease detection: A systematic literature review

NT Sinshaw, BG Assefa, SK Mohapatra… - Computational …, 2022 - Wiley Online Library
In most developing countries, the contribution of agriculture to gross domestic product is
significant. Plant disease is one of the major factors that adversely affect crop yield …

Survey on image copy-move forgery detection

M Verma, D Singh - Multimedia Tools and Applications, 2024 - Springer
In this digital era, a huge amount of images are flooding the internet, which is extensively
used for digital communications, and are also regarded as a significant source of information …

A copy-move image forgery detection technique based on tetrolet transform

KB Meena, V Tyagi - Journal of Information Security and Applications, 2020 - Elsevier
Copy-move forgery is a common type of forgery in digital images. In copy-move forgery, one
part of the image is replicated within the same image, generally at different location. For …

Image forgery detection: survey and future directions

KB Meena, V Tyagi - Data, Engineering and Applications: Volume 2, 2019 - Springer
In this age of digitization, digital images are used as a prominent carrier of visual
information. Images are becoming increasingly ubiquitous in everyday life. Unprecedented …

A hybrid copy-move image forgery detection technique based on Fourier-Mellin and scale invariant feature transforms

KB Meena, V Tyagi - Multimedia Tools and Applications, 2020 - Springer
In digital images, the most common forgery is copy-move image forgery in which some
region (s) of an image is replicated within the image. The copy-move forgery detection …

A copy-move image forgery detection technique based on Gaussian-Hermite moments

KB Meena, V Tyagi - Multimedia Tools and Applications, 2019 - Springer
Images are one of the most prominently used digital information sharing medium now a
days. Due to availability of state-of-the-art image editing tools it has become very easy to …

A deep learning based method for image splicing detection

KB Meena, V Tyagi - Journal of physics: conference series, 2021 - iopscience.iop.org
Image manipulation has become an easy task due to the availability of user-friendly
multimedia tools. The images can be manipulated in several ways. Image splicing is one of …

Eliminating the need for manual segmentation to determine size and volume from MRI. A proof of concept on segmenting the lateral ventricles

F Yepes-Calderon, JG McComb - Plos one, 2023 - journals.plos.org
Manual segmentation, which is tedious, time-consuming, and operator-dependent, is
currently used as the gold standard to validate automatic and semiautomatic methods that …

Distinguishing computer-generated images from photographic images using two-stream convolutional neural network

KB Meena, V Tyagi - Applied Soft Computing, 2021 - Elsevier
Today's advanced multimedia tools allow us to create photorealistic computer graphic
images, effortlessly. There are various fields such as the film industry, virtual reality, video …

Convolutional neural networks in ENT radiology: systematic review of the literature

Z Hasan, S Key, AR Habib, E Wong… - Annals of Otology …, 2023 - journals.sagepub.com
Introduction: Convolutional neural networks (CNNs) represent a state-of-the-art
methodological technique in AI and deep learning, and were specifically created for image …