Tracking in cell and developmental biology

E Meijering, O Dzyubachyk, I Smal… - Seminars in cell & …, 2009 - Elsevier
The past decade has seen an unprecedented data explosion in biology. It has become
evident that in order to take full advantage of the potential wealth of information hidden in the …

Active contour external force using vector field convolution for image segmentation

B Li, ST Acton - IEEE transactions on image processing, 2007 - ieeexplore.ieee.org
Snakes, or active contours, have been widely used in image processing applications.
Typical roadblocks to consistent performance include limited capture range, noise …

Analysis of leukocyte rolling in vivo and in vitro

M Sperandio, J Pickard, S Unnikrishnan, ST Acton… - Methods in …, 2006 - Elsevier
Leukocyte rolling is an important step for the successful recruitment of leukocytes from blood
to tissues mediated by a specialized group of glycoproteins termed selectins. Because of the …

Differentiating malware from cleanware using behavioural analysis

R Tian, R Islam, L Batten… - 2010 5th international …, 2010 - ieeexplore.ieee.org
This paper proposes a scalable approach for distinguishing malicious files from clean files
by investigating the behavioural features using logs of various API calls. We also propose …

[書籍][B] Computer vision: A reference guide

K Ikeuchi - 2021 - Springer
Background The role of a sensor element is to measure incident irradiance and record that
quantity as an image intensity value. However, physical constraints limit the maximum …

MAC: Magnetostatic active contour model

X **e, M Mirmehdi - IEEE Transactions on pattern analysis and …, 2008 - ieeexplore.ieee.org
We propose an active contour model using an external force field that is based on
magnetostatics and hypothesized magnetic interactions between the active contour and …

Mean shift based gradient vector flow for image segmentation

H Zhou, X Li, G Schaefer, ME Celebi, P Miller - Computer Vision and Image …, 2013 - Elsevier
In recent years, gradient vector flow (GVF) based algorithms have been successfully used to
segment a variety of 2-D and 3-D imagery. However, due to the compromise of internal and …

Gait recognition: Databases, representations, and applications

Y Makihara, MS Nixon, Y Yagi - Computer Vision: A Reference Guide, 2021 - Springer
Background Gait is increasingly used when a person cannot be identified by more
conventional means: in the recent high-profile Hatton Gardens robbery in the UK,“Basil” …

Ultrasound image segmentation using a novel multi-scale Gaussian kernel fuzzy clustering and multi-scale vector field convolution

L Panigrahi, K Verma, BK Singh - Expert Systems with Applications, 2019 - Elsevier
Ultrasound imaging is most popular technique used for breast cancer screening. Lesion
segmentation is challenging step in characterization of breast ultrasound (US) based …

Test-driving intel xeon phi

J Fang, H Sips, L Zhang, C Xu, Y Che… - Proceedings of the 5th …, 2014 - dl.acm.org
Based on Intel's Many Integrated Core (MIC) architecture, Intel Xeon Phi is one of the few
truly many-core CPUs-featuring around 60 fairly powerful cores, two levels of caches, and …