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Jan 12, 2026Open Access
Aiming at the problems of intensity inhomogeneity, boundary blurring and noise interference in the segmentation of three-dimensional volume data (such as medical images and industrial CT data). In this paper, the hidden Markov random field based on Gaussian mixture model is used for the initial segmentation of volume data, and the statistical and spatial information of the image is effectively used to obtain a reasonable initial contour and region division. Then, the level set method is used for...
Mar 01, 2025Open Access
Face recognition is rapidly becoming one of the most popular biometric authentication methods. Most face recognition systems are focused on extracting features and enhancing their verification and identification capabilities. The detection of security vulnerabilities of different types of attacks has been given attention only in recent years. These attacks can include, but are not limited to: Obfuscation Spoofing and morphing; for example, a hacker can masquerade as a target to gain access to th...
Nov 20, 2024Open Access
Recently, there has been an increasing interest in assessing basic health indications covering blood pressure, heartbeat, and breathing rate using remote photoplethysmography (rPPG) to obtain the results without direct contact with humans; rPPG has become essential to measuring vital signs while avoiding difficulties in many cases, such as transmission of infection through contact with persons who have serious diseases or disturbing people with sensitive skin or newborn babies. This technique ca...
May 29, 2024Open Access
With the acceleration of urbanization, the problem of throwing objects at high altitude becomes more and more serious, which brings great threat to people’s life and property safety. With the acceleration of urbanization, the problem of throwing objects at high altitude becomes more and more serious, which brings great threat to people’s lives and property safety. In order to solve this problem, image recognition-based monitoring and an early warning system for high-altitude parabolic objects is...
Mar 26, 2024Open Access
Urban spatial evolution is shaped by a complex interplay of anthropogenic activities and environmental dynamics, influenced by physical, socioeconomic, and regulatory factors. This study focuses on understanding the driving forces behind urban spatial evolution in Lagos, Nigeria, between 2000 and 2020. Utilizing quantitative analysis methods, particularly Pearson correlation coefficients, the study investigates correlations between land use/land cover changes and various factors, including popul...
Nov 28, 2023Open Access
Human trafficking is the world’s most prevalent and growing crime. Law enforcement agencies have been faced with a lot of challenges worldwide in this area. Over the years different works of literature have tried to sort out methods and techniques for detecting and controlling human trafficking by making use of different types of data available. In this research, an EfficientNet model was developed to help in the detection of human trafficking cases, by classifying an image into a class of chain...
May 04, 2023Open Access
Globally, the advent of new cases of cancer has been steadily increasing, with rising mortality and a significant impact on the economy. Most malignancy outcomes are linked to early detection, prompt diagnosis, and treatment. The need for early detection is crucial to cancer management. With these increasing numbers, there is a need for the adoption of emerging technologies such as machine learning to help improve the outcome of cancer management. For these reasons, in this paper, we reviewed th...
May 30, 2022Open Access
Local orientation is a feature of multi-dimensional signals. Orientation estimation plays an important role in many image processing and computer vision tasks. This paper presents a method for orientation estimation, which is based on the combination of two already well-known techniques: signal filtering in the Fourier domain with principal component analysis. As experimental results show, this method enjoys excellent precision and robustness. Both simulated and real image examples are presented...
Mar 28, 2022Open Access
Nowadays, the applications developed in the imaging area have focused on image measurement and compression, facial recognition, blurring, or image enhancement, to name a few. Among these activities, shape descriptors play an important role in describing the topology of an object and determining its general and local characteristics. Despite the large number of studies carried out, the idea of a robust shape descriptor remains a difficult problem, the challenges that hinder shape recognition are ...
Feb 25, 2021Open Access
In view of the problem that the local active contour model is difficult to achieve image segmentation accurately and quickly, an improved image segmentation method based on Local Image Fitting (LIF) is proposed. Firstly, the local median is used as the fitting center of the curve to enhance the robustness of the model to noise. Secondly, a minimized Laplacian of gaussian energy (Log) term is introduced, and the Log operator is used to smooth the image and enhance the edges of the image. Finally,...
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