MRI segmentation of the human brain: challenges, methods, and applications
I Despotović, B Goossens… - … mathematical methods in …, 2015 - Wiley Online Library
Image segmentation is one of the most important tasks in medical image analysis and is
often the first and the most critical step in many clinical applications. In brain MRI analysis …
often the first and the most critical step in many clinical applications. In brain MRI analysis …
Semi-automatic mapping of geological Structures using UAV-based photogrammetric data: An image analysis approach
Recent advances in data acquisition technologies, such as Unmanned Aerial Vehicles
(UAVs), have led to a growing interest in capturing high-resolution rock surface images …
(UAVs), have led to a growing interest in capturing high-resolution rock surface images …
Phase congruency detects corners and edges
P Kovesi - The australian pattern recognition society conference …, 2003 - books.google.com
There are many applications such as stereo matching, motion tracking and image
registration that require so called 'corners' to be detected across image sequences in a …
registration that require so called 'corners' to be detected across image sequences in a …
FSITM: A feature similarity index for tone-mapped images
HZ Nafchi, A Shahkolaei… - IEEE Signal …, 2014 - ieeexplore.ieee.org
In this work, based on the local phase information of images, an objective index, called the
feature similarity index for tone-mapped images (FSITM), is proposed. To evaluate a tone …
feature similarity index for tone-mapped images (FSITM), is proposed. To evaluate a tone …
High security iris verification system based on random secret integration
A dual-factor authentication methodology coined as S-Iris Encoding is proposed based on
the iterated inner-products between the secret pseudo-random number and the iris feature …
the iterated inner-products between the secret pseudo-random number and the iris feature …
Image registration based on autocorrelation of local structure
Z Li, D Mahapatra, JAW Tielbeek… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
Registration of images in the presence of intra-image signal fluctuations is a challenging
task. The definition of an appropriate objective function measuring the similarity between the …
task. The definition of an appropriate objective function measuring the similarity between the …
Realtime edge-based visual odometry for a monocular camera
In this work we present a novel algorithm for realtime visual odometry for a monocular
camera. The main idea is to develop an approach between classical feature-based visual …
camera. The main idea is to develop an approach between classical feature-based visual …
Have we solved edge detection? A Review of state-of-the-art datasets and DNN based techniques
M Mubashar, N Khan, AR Sajid, MH Javed… - IEEE …, 2022 - ieeexplore.ieee.org
Recent Deep Neural Networks (DNNs) based edge detection methods claim to beat human
performance on small scale datasets like BSDS500. But is the problem of edge detection …
performance on small scale datasets like BSDS500. But is the problem of edge detection …
Edge slam: Edge points based monocular visual slam
Visual SLAM shows significant progress in recent years due to high attention from vision
community but still challenges remain for low textured environments. Feature based visual …
community but still challenges remain for low textured environments. Feature based visual …
Comparison of redundancy and relevance measures for feature selection in tissue classification of CT images
In this paper we report on a study on feature selection within the minimum–redundancy
maximum–relevance framework. Features are ranked by their correlations to the target …
maximum–relevance framework. Features are ranked by their correlations to the target …