|
|
Go
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,...
Dec 23, 2020Open Access
In order to implement the acquisition and processing of signals from imaging systems, a data acquisition system based on FPGA was designed with the requirements of multi-channel, high-resolution and compactness. The data acquisition (DAQ) system uses a quad-channel 12-bit analog-to-digital converter (ADC) AD9228-65 as the front-end core chip, and a series of signal conditioning circuits to form the front-end system. FPGA is used as the data acquisition, logic control, data readout and processing...
Aug 21, 2020Open Access
CT technology has been widely used in various fields such as medical treatment, industry, and materials. Recently years, cone-beam CT (CBCT) used in the medical field is replacing the traditional spiral CT slowly due to its unique advantages. Improving the performance of CBCT and the image reconstruction algorithms could obtain higher quality of images, meanwhile, these also reduce the exposure time of X-ray irradiation. And image reconstruction techniques based on sparse angles have benefits fo...
Apr 22, 2020Open Access
In order to improve the visual effect of aerial images in foggy weather, a Retinex defogging algorithm combining dark channel priors is proposed to solve the phenomenon of insufficient defogging and over-enhancement of aerial defogging in Reinex defogging. First, the foggy original image is decomposed into foggy incident light components and foggy reflected light components by Retinex theory. Then, the principle of foggy image degradation is analyzed by an atmospheric scattering model, and the d...
Apr 29, 2018Open Access
Sub-pixel measurement system can, to
some extent,
compensate the margin positioning error caused by hardware limitation. A kind
of sub-pixel measurement system of circle outer diameter based on Zernike moment is established. Sub-pixel edge detection algorithm of circular workpiece
based on Zernike moment is proposed and further positioning of edge points in
the gradient direction by the adopti ...
Go
|
|
|
