Enhancing fine retinal vessel segmentation: Morphological reconstruction and double thresholds filtering strategy
Eye diseases such as diabetic retinopathy are progressive with various changes in the
retinal vessels, and it is difficult to analyze the disease for future treatment. There are many …
retinal vessels, and it is difficult to analyze the disease for future treatment. There are many …
Performance improvement of a near-infrared CH4 detection device using wavelet-denoising-assisted wavelength modulation technique
By introducing wavelet-denoising (WD) in the traditional tunable diode laser absorption
spectroscopy (TDLAS), a novel CH 4 detection device based on WD-assisted wavelength …
spectroscopy (TDLAS), a novel CH 4 detection device based on WD-assisted wavelength …
Mammographical mass detection and classification using local seed region growing–spherical wavelet transform (lsrg–swt) hybrid scheme
The purpose of this study is to implement accurate methods of detection and classification of
benign and malignant breast masses in mammograms. Our new proposed method, which …
benign and malignant breast masses in mammograms. Our new proposed method, which …
Classification of breast cancer with deep learning from noisy images using wavelet transform
In this study, breast cancer classification as benign or malignant was made using images
obtained by histopathological procedures, one of the medical imaging techniques. First of …
obtained by histopathological procedures, one of the medical imaging techniques. First of …
Image enhancement algorithm based on depth difference and illumination adjustment
D Li, J Bao, S Yuan, H Wang, L Wang… - Scientific …, 2021 - Wiley Online Library
In order to improve the clarity and color fidelity of traffic images under the complex
environment of haze and uneven illumination and promote road traffic safety monitoring, a …
environment of haze and uneven illumination and promote road traffic safety monitoring, a …
Computer‐aided classification of breast masses in mammogram images based on spherical wavelet transform and support vector machines
Breast cancer can be effectively detected and diagnosed using the technology of digital
mammography. However, although this technology has been rapidly developing recently …
mammography. However, although this technology has been rapidly developing recently …
Self-supervised monocular depth underwater
S Amitai, I Klein, T Treibitz - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Depth estimation is critical for any robotic system. In the past years, the estimation of depth
from monocular images has shown great improvement. However, in the underwater …
from monocular images has shown great improvement. However, in the underwater …
Using the Properties of Wavelet Coefficients of Time Series for Image Analysis and Processing
V Lyashenko, R Matarneh, Z Deineko - 2016 - openarchive.nure.ua
Image processing is used in many fields of knowledge; because it allows to automate
processes to get more information about the object being studied. Image processing …
processes to get more information about the object being studied. Image processing …
Mass detection in mammographic images using wavelet processing and adaptive threshold technique
Detection of mass in mammogram for early diagnosis of breast cancer is a significant
assignment in the reduction of the mortality rate. However, in some cases, screening of mass …
assignment in the reduction of the mortality rate. However, in some cases, screening of mass …
Aerial Imagery-Based Building Footprint Detection with an Integrated Deep Learning Framework: Applications for Fine Scale Wildland–Urban Interface Mapping
Human encroachment into wildlands has resulted in a rapid increase in wildland–urban
interface (WUI) expansion, exposing more buildings and population to wildfire risks. More …
interface (WUI) expansion, exposing more buildings and population to wildfire risks. More …