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Most ultrasound image segmentation methods employ a joint training strategy, where the model learns the edge and core regions indiscriminately and uniformly. However, they often overlook the distinct shapes of the edges and the sizes of the core regions. ...

Computed Tomography (CT) technology for rock geological research has been widely applied due to its advantages of three-dimensional imaging, non-invasiveness, and easy integration with computer simulations. However, due to economic costs and time ...

COVID-19 pandemic has turned the world upside down, with almost everything coming to a halt. In the current period, where we are slowly returning to normal lives, organisations have become more concerned about safety and health. In the post-COVID period, ...

Due to the existence of metallic implants in certain patients, the Computed Tomography (CT) images from these patients are often corrupted by undesirable metal artifacts, which causes severe problem of metal artifact. Although many methods have been ...

Coarctation of aorta (CoA) is a critical congenital malformation which can lead to serious complications such as hypertension, heart failure and even shock in severe case. The effective diagnosis and surgical management of CoA require accurate aortic ...

In order to effectively improve the speckle noise suppression ability and preserve edge structure information in medical ultrasound images, an edge enhancement method based on Bayesian Non-Local Means and Convolution Neural Network is proposed in this ...

Text information is an important basis for people to understand the natural scene image. At first, an edge-enhanced maximally stable extremal regions (MSER) text detection method based on weighted guided filtering and histograms of oriented gradients (HOG)...

To detect the pulse train, the idea of edge enhancement in image processing is applied in this paper, and the pulse train detection algorithm based on difference of boxes (DOB) filter is investigated. Simulations indicate that the method is effective to ...

Network community detection is a hot research topic in network analysis. Although many methods have been proposed for community detection, most of them only take into consideration the lower-order structure of the network at the level of individual ...

A new optimization approach to sparse reconstruction of log-conductivity in acousto-electric tomography is presented. This approach considers the minimization of a Tikhonov least-squares functional of measured power density together with an $L^1$-norm ...

This paper presents a novel method to enhance computerized tomography (CT) and magnetic resonance (MR) images. The proposed algorithm uses three techniques, namely, Domain Transform, Shape-adaptive edge enhancement, and Adaptive histogram equalization to ...

This paper presents an adaptive edge enhancement method based on histogram matching for ultrasound images. Because of the speckle noises of ultrasound images, traditional edge enhancement methods do not work well for ultrasound images. The proposed ...

Digital halftoning plays a central role in getting more observable grey-levels for either the innovative electronic paper or other less level devices. The hardware implementation of digital halftoning is, however, seldom fully explored. In this paper, ...

X-ray field phase differences caused by an object can induce edge enhancement in a radiological image Phase contrast effects have been interpreted using a model based on x-ray Fresnel diffraction The dependence of edge-enhancement on x-ray energy, ...

Recently, detective quantum efficiency (DQE) arising from the concept of signal-to-noise ratio (SNR) has been used for assessing digital x-ray imaging systems Using a phase-shift of x-rays that occurs when passing through an object, digital phase ...

The Radon transform is an important tool to detect line features in the image and it has strong anti-noise ability. The traditional method, which the first step is to do edge detection and then to do the Radon transform, exists some defects. Therefore, ...

This article introduces Nohalo level 1 ("Nohalo"), the simplest member of a family of image resamplers which straighten diagonal interfaces without adding noticeable nonlinear artifacts. Nohalo is interpolatory, co-monotone, co-convex, antialiasing, ...

An important field of research in computer vision is the 3D analysis and reconstruction of objects and scenes. A rather new technology in this context is the Photonic Mixer Device (PMD), based on the Time-Of-Flight principle, which measures full-range ...

In order to improve the quality of the infrared image, a kind of algorithm based on fuzzy-set and multi-scale wavelet decomposition (FSMW) to enhance the edge without the noise enhancement is advanced in this paper. Because the details and the noise of ...

Image denoising is a lively research field. The classical nonlinear filters used for image denoising, such as median filter, are based on a local analysis of the pixels within a moving window. Recently, the research of image denoising has been focused ...