A survey of orthogonal moments for image representation: Theory, implementation, and evaluation
Image representation is an important topic in computer vision and pattern recognition. It
plays a fundamental role in a range of applications toward understanding visual contents …
plays a fundamental role in a range of applications toward understanding visual contents …
COVID-19 X-ray images classification based on enhanced fractional-order cuckoo search optimizer using heavy-tailed distributions
Classification of COVID-19 X-ray images to determine the patient's health condition is a
critical issue these days since X-ray images provide more information about the patient's …
critical issue these days since X-ray images provide more information about the patient's …
Fractional quaternion Zernike moments for robust color image copy-move forgery detection
In this paper, fractional Zernike moments (FrZMs) for complex signals are generalized to
fractional quaternion Zernike moments (FrQZMs) for quaternion signal processing in a …
fractional quaternion Zernike moments (FrQZMs) for quaternion signal processing in a …
Few-shot learning for short text classification
L Yan, Y Zheng, J Cao - Multimedia Tools and Applications, 2018 - Springer
Due to the limited length and freely constructed sentence structures, it is a difficult
classification task for short text classification. In this paper, a short text classification …
classification task for short text classification. In this paper, a short text classification …
DCU-Net: a dual-channel U-shaped network for image splicing forgery detection
H Ding, L Chen, Q Tao, Z Fu, L Dong, X Cui - Neural Computing and …, 2023 - Springer
The detection and location of image splicing forgery are a challenging task in the field of
image forensics. It is to study whether an image contains a suspicious tampered area pasted …
image forensics. It is to study whether an image contains a suspicious tampered area pasted …
[HTML][HTML] Color stereo image encryption and local zero-watermarking schemes using octonion Hahn moments and modified Henon map
Discrete orthogonal moments (DOMs) are widely applied in the field of image processing.
However, most existing DOMs are used for flat image analysis and are less suitable for color …
However, most existing DOMs are used for flat image analysis and are less suitable for color …
Fractional-order modified heterogeneous comprehensive learning particle swarm optimizer for intelligent disease detection in IoMT environment
This paper presents an alternative early disease detection technique based on the Internet
of Medical Things (IoMT) to improve the healthcare system. Since it is necessary to address …
of Medical Things (IoMT) to improve the healthcare system. Since it is necessary to address …
A new method to detect splicing image forgery using convolutional neural network
Recently, digital images have been considered the primary key for many applications, such
as forensics, medical diagnosis, and social networks. Image forgery detection is considered …
as forensics, medical diagnosis, and social networks. Image forgery detection is considered …
Hybrid image-retrieval method for image-splicing validation
Recently, the task of validating the authenticity of images and the localization of tampered
regions has been actively studied. In this paper, we go one step further by providing solid …
regions has been actively studied. In this paper, we go one step further by providing solid …
Image splicing forgery detection techniques: A review
The authenticity of digital images is openly challenged today due to the easy availability of
various advanced image editing software. The semantic meaning of an image can be …
various advanced image editing software. The semantic meaning of an image can be …