Robustifying vector median filter.

Sensors (Basel)

Instituto Universitario de Matemática Pura y Aplicada, Universidad Politécnica de Valencia, Camino de Vera s/n 46022 Valencia, Spain.

Published: June 2012

This paper describes two methods for impulse noise reduction in colour images that outperform the vector median filter from the noise reduction capability point of view. Both methods work by determining first the vector median in a given filtering window. Then, the use of complimentary information from componentwise analysis allows to build robust outputs from more reliable components. The correlation among the colour channels is taken into account in the processing and, as a result, a more robust filter able to process colour images without introducing colour artifacts is obtained. Experimental results show that the images filtered with the proposed method contain less noisy pixels than those obtained through the vector median filter. Objective measures demonstrate the goodness of the achieved improvement.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231704PMC
http://dx.doi.org/10.3390/s110808115DOI Listing

Publication Analysis

Top Keywords

vector median
16
median filter
12
noise reduction
8
colour images
8
robustifying vector
4
median
4
filter
4
filter paper
4
paper describes
4
describes methods
4

Similar Publications

Background A minority of patients receiving stereotactic body radiation therapy (SBRT) for non-small cell lung cancer (NSCLC) are not good responders. Radiomic features can be used to generate predictive algorithms and biomarkers that can determine treatment outcomes and stratify patients to their therapeutic options. This study investigated and attempted to validate the radiomic and clinical features obtained from early-stage and oligometastatic NSCLC patients who underwent SBRT, to predict local response.

View Article and Find Full Text PDF

Objectives: We aim to quantify the performance of accelerometry in objectively measuring physical activity (PA) intensity among infants and toddlers.

Methods: Thirty-eight 6- to 24-month-olds participated in a 30-min, semistructured lab visit. Twenty-three (61%) children could walk independently.

View Article and Find Full Text PDF

Supervised machine learning statistical models for visual outcome prediction in macular hole surgery: a single-surgeon, standardized surgery study.

Int J Retina Vitreous

January 2025

Department of Retina and Vitreous, Narayana Nethralaya, #121/C, 1st R Block, Chord Road, Rajaji Nagar, Bengaluru, 560010, India.

Purpose: To evaluate the predictive accuracy of various machine learning (ML) statistical models in forecasting postoperative visual acuity (VA) outcomes following macular hole (MH) surgery using preoperative optical coherence tomography (OCT) parameters.

Methods: This retrospective study included 158 eyes (151 patients) with full-thickness MHs treated between 2017 and 2023 by the same surgeon and using the same intraoperative surgical technique. Data from electronic medical records and OCT scans were extracted, with OCT-derived qualitative and quantitative MH characteristics recorded.

View Article and Find Full Text PDF

Automated Classification of Cardiac Arrhythmia using Short-Duration ECG Signals and Machine Learning.

Biomed Phys Eng Express

January 2025

Electronics and Communication Engineering, Rajiv Gandhi University, Rono Hills, Doimukh, ITANAGAR, Itanagar, Arunachal Pradesh, 791112, INDIA.

Accurate detection of cardiac arrhythmias is crucial for preventing premature deaths. The current study employs a dual-stage Discrete Wavelet Transform (DWT) and a median filter to eliminate noise from ECG signals. Subsequently, ECG signals are segmented, and QRS regions are extracted for further preprocessing.

View Article and Find Full Text PDF

An epidemiological risk assessment of imported malaria cases and potential local transmission in Qatar.

Eur J Public Health

January 2025

Health Protection and Communicable Diseases Control Department, Ministry of Public Health, Doha, Qatar.

Preventing local transmission of malaria from imported cases is crucial for achieving and maintaining malaria elimination. This study aimed to investigate the epidemiological characteristics of imported malaria cases and assess the distribution of malaria vectors in Qatar. Data from January 2016 to December 2022 on imported malaria, including demographic and epidemiological characteristics, travel-related information, and diagnostic results, were collected and analysed using descriptive statistics.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!