Search
Search Results
-
Medical image retrieval using a novel local relative directional edge pattern and Zernike moments
The traditional annotation-based medical image retrieval faces a problem with competence and precision with the extensive medical image databases....
-
A robust semi-fragile watermarking system using Pseudo-Zernike moments and dual tree complex wavelet transform for social media content authentication
With the growing use of mobile devices and Online Social Networks (OSNs), sharing digital content, especially digital images is extremely high as...
-
Two-step text detection framework in natural scenes based on Pseudo-Zernike moments and CNN
Advanced Driver-Assistance Systems (ADAS) are becoming more and more topical projects for researchers. Their goal is to help people drive their cars...
-
An approach for anti-forensic contrast enhancement detection using grey level co-occurrence matrix and Zernike moments
The present paper aims to detect contrast enhancement when forensic fingerprints are removed by anti-forensic attacks. The methodology employed in...
-
A robust framework to generate surveillance video summaries using combination of zernike moments and r-transform and deep neural network
A huge number of cameras records scenes everywhere, generating enormous bulks of videos. Processing these huge masses of videos and detection of...
-
Robust Video Watermarking Using Normalized Zernike Moments
Digital video watermarking has become a hot research topic in recent years due to the increasing demand of protecting the intellectual property of...
-
Fractional-Order Image Moments and Applications
Image moments, as a global feature descriptor for images, have become a powerful tool for pattern recognition and image analysis. Most of the...
-
Image watermarking techniques based on Schur decomposition and various image invariant moments: a review
Digital image watermarking provides security, copyright protection, and authenticity to multimedia content by embedding digital content like text,...
-
A convolutional neural network and classical moments-based feature fusion model for gesture recognition
Hand gesture recognition is a significant and challenging building block for different computer vision applications such as controlling,...
-
Zernike-CNNs for image preprocessing and classification in printed register detection
In the register detection of printing field, a new approach based on Zernike-CNNs is proposed. The edge feature of image is extracted by Zernike...
-
3D Bessel moments for 3D model retrieval
Three-dimensional (3D) model retrieval and shape recognition are focus of research with the development of big data technology and the increasing...
-
Combined kernel for fast GPU computation of Zernike moments
Zernike moments, as a representative orthogonal moment, have been widely applied in the fields of image processing and pattern recognition. The...
-
Secondary Pulmonary Tuberculosis Identification Via pseudo-Zernike Moment and Deep Stacked Sparse Autoencoder
Secondary pulmonary tuberculosis (SPT) is one of the top ten causes of death from a single infectious agent. To recognize SPT more accurately, this...
-
Accurate image reconstruction by separable krawtchouk-charlier moments with automatic parameter selection using artificial bee colony optimization
The feature extraction process involves identifying and extracting relevant features from specific data. However, in most cases, this data can be a...
-
Fast chaotic encryption scheme based on separable moments and parallel computing
In this paper, we propose three novel image encryption algorithms. Separable moments and parallel computing are combined in order to enhance the...
-
Multi-resolution approach to human activity recognition in video sequence based on combination of complex wavelet transform, Local Binary Pattern and Zernike moment
Human activity recognition is a challenging problem of computer vision and it has different emerging applications. The task of recognizing human...
-
The 2-Orthogonal and Orthogonal Radial Shape Moments for Image Representation and Recognition
Images recognition require an extraction technique of feature vectors of these images. These vectors must be invariant to the three geometric...
-
Helmet-fourier orthogonal moments for image representation and recognition
The orthogonal moments have recently achieved outstanding predictive performance and become an indispensable tool in a wide range of imaging and...
-
Novel Quaternion Orthogonal Fourier-Mellin Moments Using Optimized Factorial Calculation
This paper provides an in-depth discussion on the application of quaternion orthogonal Fourier-Mellin Moments (QOFMM) in the field of digital image...
-
Quaternion discrete orthogonal Hahn moments convolutional neural network for color image classification and face recognition
Color image recognition has recently attracted more researchers’ attention. Many methods based on quaternions have been developed to improve the...
