[KNIHA][B] 2D and 3D image analysis by moments

J Flusser, T Suk, B Zitová - 2016 - books.google.com
Presents recent significant and rapid development in the field of 2D and 3D image analysis
2D and 3D Image Analysis by Moments, is a unique compendium of moment-based image …

Bowfire: detection of fire in still images by integrating pixel color and texture analysis

DYT Chino, LPS Avalhais… - 2015 28th SIBGRAPI …, 2015 - ieeexplore.ieee.org
Emergency events involving fire are potentially harmful, demanding a fast and precise
decision making. The use of crowd sourcing image and videos on crisis management …

Performance evaluation of moment-based watermarking methods: a review

ED Tsougenis, GA Papakostas, DE Koulouriotis… - Journal of Systems and …, 2012 - Elsevier
This paper includes a theoretical analysis and performance investigation of representative
moment-based watermarking systems. The main contribution of this work, along with the …

Conventional machine learning versus deep learning for magnification dependent histopathological breast cancer image classification: A comparative study with …

S Boumaraf, X Liu, Y Wan, Z Zheng, C Ferkous, X Ma… - Diagnostics, 2021 - mdpi.com
Breast cancer is a serious threat to women. Many machine learning-based computer-aided
diagnosis (CAD) methods have been proposed for the early diagnosis of breast cancer …

A novel deep learning framework for copy-moveforgery detection in images

MA Elaskily, HA Elnemr, A Sedik, MM Dessouky… - Multimedia Tools and …, 2020 - Springer
In this era of technology, digital images turn out to be ubiquitous in a contemporary society
and they can be generated and manipulated by a wide variety of hardware and software …

Fast colored video encryption using block scrambling and multi-key generation

KM Hosny, MA Zaki, NA Lashin, HM Hamza - The Visual Computer, 2023 - Springer
Multimedia information usage is increasing with new technologies such as the Internet of
things (IoT), cloud computing, and big data processing. Video is one of the most widely used …

A probabilistic SVM approach for hyperspectral image classification using spectral and texture features

R Seifi Majdar, H Ghassemian - International Journal of Remote …, 2017 - Taylor & Francis
New hyperspectral sensors can collect a large number of spectral bands, which provide a
capability to distinguish various objects and materials on the earth. However, the accurate …

Parallel multi-core CPU and GPU for fast and robust medical image watermarking

KM Hosny, MM Darwish, K Li, A Salah - IEEE Access, 2018 - ieeexplore.ieee.org
Securing medical images are a very essential process in medical image authentication.
Medical image watermarking is a very popular tool to achieve this goal. In this paper, an …

New set of multi-channel orthogonal moments for color image representation and recognition

KM Hosny, MM Darwish - Pattern Recognition, 2019 - Elsevier
Orthogonal moments and their invariants to similarity transformations for monochrome and
gray-scale images are widely used in many pattern recognition and image processing …

Image representation using accurate orthogonal Gegenbauer moments

KM Hosny - Pattern Recognition Letters, 2011 - Elsevier
Image representation by using polynomial moments is an interesting theme. In this paper,
image representation by using orthogonal Gegenbauer function is presented. A novel …