Optic disc and optic cup segmentation methodologies for glaucoma image detection: a survey
Glaucoma is the second leading cause of loss of vision in the world. Examining the head of
optic nerve (cup‐to‐disc ratio) is very important for diagnosing glaucoma and for patient …
optic nerve (cup‐to‐disc ratio) is very important for diagnosing glaucoma and for patient …
Applications of fractional calculus in computer vision: a survey
Fractional calculus is an abstract idea exploring interpretations of differentiation having non-
integer order. For a very long time, it was considered as a topic of mere theoretical interest …
integer order. For a very long time, it was considered as a topic of mere theoretical interest …
Analysis of live cell images: Methods, tools and opportunities
Advances in optical microscopy, biosensors and cell culturing technologies have
transformed live cell imaging. Thanks to these advances live cell imaging plays an …
transformed live cell imaging. Thanks to these advances live cell imaging plays an …
A level set approach to image segmentation with intensity inhomogeneity
It is often a difficult task to accurately segment images with intensity inhomogeneity, because
most of representative algorithms are region-based that depend on intensity homogeneity of …
most of representative algorithms are region-based that depend on intensity homogeneity of …
A local region-based Chan–Vese model for image segmentation
S Liu, Y Peng - Pattern Recognition, 2012 - Elsevier
In this paper, a new region-based active contour model, namely local region-based Chan–
Vese (LRCV) model, is proposed for image segmentation. By considering the image local …
Vese (LRCV) model, is proposed for image segmentation. By considering the image local …
Deep learning classification for diabetic foot thermograms
I Cruz-Vega, D Hernandez-Contreras… - Sensors, 2020 - mdpi.com
According to the World Health Organization (WHO), Diabetes Mellitus (DM) is one of the
most prevalent diseases in the world. It is also associated with a high mortality index …
most prevalent diseases in the world. It is also associated with a high mortality index …
Recognition and evaluation of bridge cracks with modified active contour model and greedy search-based support vector machine
G Li, X Zhao, K Du, F Ru, Y Zhang - Automation in Construction, 2017 - Elsevier
Concrete cracks are the most important representation for evaluating the bridge health
condition and conducting to take appropriate actions to optimize expenditure on …
condition and conducting to take appropriate actions to optimize expenditure on …
A robust weld seam recognition method under heavy noise based on structured-light vision
Structured-light vision systems are widely used in robotic welding. The key to improving the
robotic visual servo performance and weld quality is the weld seam recognition accuracy …
robotic visual servo performance and weld quality is the weld seam recognition accuracy …
Reinitialization-free level set evolution via reaction diffusion
This paper presents a novel reaction-diffusion (RD) method for implicit active contours that is
completely free of the costly reinitialization procedure in level set evolution (LSE). A diffusion …
completely free of the costly reinitialization procedure in level set evolution (LSE). A diffusion …
GreyWolfLSM: An accurate oil spill detection method based on level set method from synthetic aperture radar imagery
N Aghaei, G Akbarizadeh… - European Journal of …, 2022 - Taylor & Francis
Oil spill detection (OSD) in marine areas is an application of synthetic aperture radar (SAR)
images to protect aquatic life. In this paper, a new oil spill detection algorithm based on level …
images to protect aquatic life. In this paper, a new oil spill detection algorithm based on level …