An adaptive method is presented in this paper to cope with gaussian noise through local structure estimation. Even regions and uneven regions are distinguished firstly, then each uneven region is further segmented into two subregions by fuzzy c-means clustering algorithm and fisher discriminant analysis. Finally, linear approximation is used to estimate the intensities of each region. With the introduction of local structure analysis, gaussian noise is reduced effectively with edges preserved very well. Experimental results also demonstrate its effectiveness in terms of medical images enhancement, while it is also applicable to other similar images that have many tiny details.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1109/IEMBS.2005.1616002 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
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 PDFA new statistical metric for robust target detection in cryo-EM using 2D template matching.
IUCrJ
March 2025
RNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, USA.
2D template matching (2DTM) can be used to detect molecules and their assemblies in cellular cryo-EM images with high positional and orientational accuracy. While 2DTM successfully detects spherical targets such as large ribosomal subunits, challenges remain in detecting smaller and more aspherical targets in various environments. In this work, a novel 2DTM metric, referred to as the 2DTM p-value, is developed to extend the 2DTM framework to more complex applications.
View Article and Find Full Text PDFArthroscopy is a minimally invasive surgical procedure used to diagnose and treat joint problems. The clinical workflow of arthroscopy typically involves inserting an arthroscope into the joint through a small incision, during which surgeons navigate and operate largely by relying on their visual assessment through the arthroscope. However, the arthroscope's restricted field of view and lack of depth perception pose challenges in navigating complex articular structures and achieving surgical precision during procedures.
View Article and Find Full Text PDFWe present the first, to our knowledge, metasurface holographic display method with exceptional fidelity and minimal edge noise, based on highly uniform flat-top light generated by a digital micromirror device (DMD). Based on the error-diffusion algorithm and iterative refinement process, the amplitude distribution of the initial Gaussian light was dynamically closed-loop modulated, and the standard difference of the intensity of the 3 mm diameter center flat-top beam was reduced to less than 3.4%.
View Article and Find Full Text PDFAn ML-Enhanced Laser-Based Methane Slip Sensor Using Wavelength Modulation Spectroscopy.
ACS Sens
January 2025
Department of Mechanical Engineering, University of British Columbia, 2054-6250 Applied Science Lane, Vancouver, British Columbia V6T 1Z4, Canada.
Natural gas (NG) is a promising alternative to diesel for sustainable transport, potentially reducing GHG and air quality emissions significantly. However, the GHG benefits hinge on managing methane slip, the unburned methane in the exhaust of NG engines, which carries a significant global warming potential. The CH slip from NG engines is highly dependent on engine type and operation, and effective greenhouse gas emission mitigation requires that the actual operation of real-world engines is monitored.
View Article and Find Full Text PDFWant 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!