An integration of meta-heuristic approach utilizing kernel principal component analysis for multimodal medical image registration
Medical image registration is vital for precise healthcare diagnosis, treatment planning, and
disease progression tracking, but traditional methods fail to capture complex spatial …
disease progression tracking, but traditional methods fail to capture complex spatial …
PEM‐PCA: A Parallel Expectation‐Maximization PCA Face Recognition Architecture
Principal component analysis or PCA has been traditionally used as one of the feature
extraction techniques in face recognition systems yielding high accuracy when requiring a …
extraction techniques in face recognition systems yielding high accuracy when requiring a …
Robust retinal image registration using expectation maximisation with mutual information
Retinal images (RI) are widely used to diagnose a variety of eye conditions and diseases
such as myopia and diabetic retinopathy. They are inherently characterised by having …
such as myopia and diabetic retinopathy. They are inherently characterised by having …
Multimodal retinal image registration using a fast principal component analysis hybrid-based similarity measure
Multimodal retinal images (RI) are extensively used for analysing various eye diseases and
conditions such as myopia and diabetic retinopathy. The incorporation of either two or more …
conditions such as myopia and diabetic retinopathy. The incorporation of either two or more …
Enhanced retinal image registration accuracy using expectation maximisation and variable bin-sized mutual information
While retinal images (RI) assist in the diagnosis of various eye conditions and diseases such
as glaucoma and diabetic retinopathy, their innate features including low contrast …
as glaucoma and diabetic retinopathy, their innate features including low contrast …
Range image registration based on hash map and moth-flame optimization
L Zou, B Ge, L Chen - Journal of Electronic Imaging, 2018 - spiedigitallibrary.org
Over the past decade, evolutionary algorithms (EAs) have been introduced to solve range
image registration problems because of their robustness and high precision. However, EA …
image registration problems because of their robustness and high precision. However, EA …
Efficient implementation of regional mutual information for the registration of road images
Motivated by recent advancements in the detection and classification of road distress, we
aim to align road images from different years to facilitate automated change detection. We …
aim to align road images from different years to facilitate automated change detection. We …
Fast EM principal component analysis image registration using neighbourhood pixel connectivity
Image registration (IR) is the systematic process of aligning two images of the same or
different modalities. The registration of mono and multimodal images ie, magnetic …
different modalities. The registration of mono and multimodal images ie, magnetic …
A PCA-aided EV-EGI Method for Registering Volumetric Datasets
C Dong, TS Newman - Proceedings of the 2022 7th International …, 2022 - dl.acm.org
A method for volumetric dataset registration that utilizes principal component analysis (PCA)
and volumetric extended Gaussian image (EGI)-based processing is presented. The method …
and volumetric extended Gaussian image (EGI)-based processing is presented. The method …
[PDF][PDF] Research Article PEM-PCA: A Parallel Expectation-Maximization PCA Face Recognition Architecture
K Rujirakul, C So-In, B Arnonkijpanich - academia.edu
Principal component analysis or PCA has been traditionally used as one of the feature
extraction techniques in face recognition systems yielding high accuracy when requiring a …
extraction techniques in face recognition systems yielding high accuracy when requiring a …