Now showing items 1-6 of 6
Histogram-Based Feature Extraction from Individual Gray Matter Similarity-Matrix for Alzheimer's Disease Classification
(IOS PRESS, 2017)
Automatic computer-aided diagnosis (CAD) systems have been widely used in classification of patients who suffer from Alzheimer's disease (AD). This paper presents an automatic CAD system based on histogram feature extraction ...
Dominant and Complementary Emotion Recognition From Still Images of Faces
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2018)
Emotion recognition has a key role in affective computing. Recently, fine-grained emotion analysis, such as compound facial expression of emotions, has attracted high interest of researchers working on affective computing. ...
Resolution enhancement of imagestakenby mobile phonecamera
Carey and co-researchers have estimated a super-resolution technique DA SR (Demirel-Anbarjafari Super Resolution), based on interpolation of the high frequency sub-band images obtained by discrete wavelet transform (DWT). ...
Classification of Alzheimer's Disease and Prediction of Mild Cognitive Impairment Conversion Using Histogram-Based Analysis of Patient-Specific Anatomical Brain Connectivity Networks
(IOS PRESS, 2017)
In this study, we investigated the early detection of Alzheimer's disease (AD) and mild cognitive impairment (MCI) conversion to AD through individual structural connectivity networks using structural magnetic resonance ...
Image illumination enhancement with an objective no-reference measure of illumination assessment based on Gaussian distribution mapping
(ELSEVIER - DIVISION REED ELSEVIER INDIA PVT LTD, 2015-12)
Illumination problems have been an important concern in many image processing applications. The pattern of the histogram on an image introduces meaningful features; hence within the process of illumination enhancement, it ...
Real-time ensemble based face recognition system for NAO humanoids using local binary pattern
NAO humanoid robots are being used in many human-robot interaction applications. One of the important existing challenges is developing an accurate real-time face recognition system which does not require to have high ...