Image edge detection using fractional calculus with feature and contrast enhancement

A Nandal, H Gamboa-Rosales, A Dhaka… - Circuits, Systems, and …, 2018 - Springer
Edge detection is an important aspect of image processing to improve image edge quality. In
the literature, there exist various edge detection techniques in spatial and frequency …

Fractional Fourier transform and fractional-order calculus-based image edge detection

S Kumar, R Saxena, K Singh - Circuits, Systems, and Signal Processing, 2017 - Springer
Edge detection is an integral component of image processing to enhance the clarity of
edges in an image. Detection of edges for an image may help for image segmentation, data …

Inverse biometrics: Generating vascular images from binary templates

C Kauba, S Kirchgasser, V Mirjalili… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this work, we investigate the possibility of generating grayscale images of finger and hand
vein patterns from their corresponding binary templates. This would allow us to determine …

An optimal higher order likelihood distribution based approach for strong edge and high contrast restoration

L Zhou, A Dhaka, H Malik, A Nandal, S Singh… - IEEE Access, 2021 - ieeexplore.ieee.org
The existing studies are generally focused on the pixel intensity or noise variance, and not
much attention is given to describe the actual distribution. Some modifications have been …

Improving GPR imaging of the buried water utility infrastructure by integrating the multidimensional nonlinear data decomposition technique into the edge detection

CS Chen, Y Jeng - Water, 2021 - mdpi.com
Although ground-penetrating radar (GPR) is effective to detect shallow-buried objects, it still
needs more effort for the application to investigate a buried water utility infrastructure. Edge …

Image Reconstruction with Multiscale Interest Points Based on a Conditional Generative Adversarial Network

S Liu, B Tremblais, P Carre, N Zhou, J Wu - Mathematics, 2022 - mdpi.com
A new image reconstruction (IR) algorithm from multiscale interest points in the discrete
wavelet transform (DWT) domain was proposed based on a modified conditional generative …

Multiscale adaptive side window filtering and its application on seismic data

Y Li, G Zhang, H Du, L Li, F Qian… - IEEE Geoscience and …, 2022 - ieeexplore.ieee.org
Side window filtering (SWF) can effectively capture detailed image edges and is widely
applied in image processing. However, its fixed-scale (or fixed-size) filter kernel cannot …

Fractional differentiation based image enhancement for automatic detection of malignant melanoma

B Anber, K Yurtkan - BMC Medical Imaging, 2024 - Springer
Recent improvements in artificial intelligence and computer vision make it possible to
automatically detect abnormalities in medical images. Skin lesions are one broad class of …

Predictive Identification of Malignant Melanoma from Fractional Differentiation-based Image Enhancement

VU Rathod, MD Salunké, HB Jadhav… - Journal of Electrical …, 2024 - search.proquest.com
Recent advancements in computer vision and artificial intelligence allow for the automatic
detection of some abnormalities in medical photographs. One of these is a skin lesion, and …

An agent-based paradigm for the reconstruction of conical perspectives

JFC Pastor, FJM Cruz - Expert Systems with Applications, 2016 - Elsevier
Obtaining three-dimensional models from digital images is one of the most important
challenges in the computer vision. This task requires the advances in two major …