Browsing Electrical Engineering by Subject "Image processing"
Now showing items 1-9 of 9
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Face segmentation in thumbnail images by data-adaptive convolutional segmentation networks
( IEEE Computer Society , 2016 , Conference Paper)In this study we address the problem of face segmentation in thumbnail images. While there have been several approaches for face detection, none performs detection in such low resolution and segmentation with pixel accuracy. ... -
Improving the classification of newborn EEG time-frequency representations using a combined time-frequency signal and image approach
(2012 , Conference Paper)This paper presents new time-frequency (T-F) features to improve the classification of non-stationary signals such as EEG signals. Previous methods were based only on signal features that were derived from the instantaneous ... -
Long-term epileptic EEG classification via 2D mapping and textural features
( Elsevier Ltd , 2015 , Article)Interpretation of long-term Electroencephalography (EEG) records is a tiresome task for clinicians. This paper presents an efficient, low cost and novel approach for patient-specific classification of long-term epileptic ... -
Reliable tuberculosis detection using chest X-ray with deep learning, segmentation and visualization
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Tuberculosis (TB) is a chronic lung disease that occurs due to bacterial infection and is one of the top 10 leading causes of death. Accurate and early detection of TB is very important, otherwise, it could be life-threatening. ... -
Signal content estimation based on the short-term time-frequency Rényi entropy of the S-method time-frequency distribution
(2012 , Conference Paper)A key characteristic of a nonstationary signal, when analyzed in the time-frequency domain, is the signal complexity, quantified as the number of components in the signal. This paper describes a method for the estimation ... -
TB-CXRNet: Tuberculosis and Drug-Resistant Tuberculosis Detection Technique Using Chest X-ray Images
( Springer Nature , 2024 , Article)Tuberculosis (TB) is a chronic infectious lung disease, which caused the death of about 1.5 million people in 2020 alone. Therefore, it is important to detect TB accurately at an early stage to prevent the infection and ... -
Time-frequency features for pattern recognition using high-resolution TFDs: A tutorial review
( Elsevier Inc. , 2015 , Article)This paper presents a tutorial review of recent advances in the field of time-frequency (t, f) signal processing with focus on exploiting (t, f) image feature information using pattern recognition techniques for detection ... -
Time-Frequency Signal Analysis and Processing: A Comprehensive Reference
( Elsevier Inc. , 2015 , Book)Time-Frequency Signal Analysis and Processing (TFSAP) is a collection of theory, techniques and algorithms used for the analysis and processing of non-stationary signals, as found in a wide range of applications including ... -
Transfer learning with deep Convolutional Neural Network (CNN) for pneumonia detection using chest X-ray
( MDPI AG , 2020 , Article)Pneumonia is a life-threatening disease, which occurs in the lungs caused by either bacterial or viral infection. It can be life-endangering if not acted upon at the right time and thus the early diagnosis of pneumonia is ...