Results 31 to 40 of about 4,027,438 (349)
Modelling of retinal vasculature based on genetically tuned parametric L-system [PDF]
Royal Society Open Science, 2018 Structures of retinal blood vessels are of great importance in diagnosis and treatment of diseases that affect the eyes. Parametric Lindenmayer system (L-system) is one of the powerful rule-based methods that has a great capability for generating tree ...
Seyed Mohammad Ali Aghamirmohammadali +2 more
doaj +1 more source
SAR Image Change Detection Based on Mathematical Morphology and the K-Means Clustering Algorithm
IEEE Access, 2019 Synthetic aperture radar (SAR) images have been applied in disaster monitoring and environmental monitoring. With the objective of reducing the effect of noise on SAR image change detection, this paper presents an approach based on mathematical ...
Luyang Liu +3 more
semanticscholar +1 more source
IEEE Geoscience and Remote Sensing Magazine, 2018 In recent years, airborne and spaceborne hyperspectral imaging systems have advanced in terms of spectral and spatial resolution, which makes the data sets they produce a valuable source for land cover classification.
Pedram Ghamisi +11 more
semanticscholar +1 more source
Introduction to mathematical morphology
Computer Vision, Graphics, and Image Processing, 1986 Mathematical morphology is concerned with the description of phenomena which spread in space and which exhibit certain spatial structures. From the mathematical point of view it is the application of lattice theory to spatial structures (as defined by the author).
openaire +2 more sources
Composite morphological structural element in the edge detecting
Journal of Education, Health and Sport, 2017 Rajs Arkadiusz, Aleksiewicz Mariusz, Goździewska-Nowicka Agnieszka, Parczyk Krystyna. Composite morphological structural element in the edge detecting. Journal of Education, Health and Sport. 2016;6(11):299-304. eISSN 2391-8306.
Arkadiusz Rajs +3 more
doaj +3 more sources
Riemannian mathematical morphology [PDF]
Pattern Recognition Letters, 2014 This paper introduces mathematical morphology operators for real-valued images whose support space is a Riemannian manifold. The starting point consists in replacing the Euclidean distance in the canonical quadratic structuring function by the Riemannian distance used for the adjoint dilation/erosion. We then extend the canonical case to a most general
Angulo, Jesus, Velasco-Forero, Santiago
openaire +3 more sources
Overview of molecular signatures of senescence and associated resources: pros and cons
FEBS Open Bio, EarlyView.Cells can enter a stress response state termed cellular senescence that is involved in various diseases and aging. Detecting these cells is challenging due to the lack of universal biomarkers. This review presents the current state of senescence identification, from biomarkers to molecular signatures, compares tools and approaches, and highlights ...
Orestis A. Ntintas +6 more
wiley +1 more source
Nonscalar Mathematical Morphology
, 2017 Mathematical morphology is not always straightforward to generalize to situations where values in an image do not admit a natural total order. This mostly due to the limitations of the underlying formalism. Three state-of-the-art solutions for bypassing those limitations are discussed, with example applications ranging from color images interpreted as ...
Jos B. T. M. Roerdink +1 more
openaire +3 more sources
Advanced Biology, EarlyView.The unrolling of the peltate leaves in Syngonium podophyllum is analyzed and quantified (left‐hand side to center). These measurements serve to verify a mathematical model for leaf unrolling based on the model used in Schmidt (2007). An additional formula for obtaining a layer mismatch from a prescribed radius is derived.
Michelle Modert +4 more
wiley +1 more source
Color Image Indexing Using Mathematical Morphology
Analele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2014 A mathematical morphology based approach for color image indexing is explored in this paper. Morphological signatures are powerful descriptions of the image content in the framework of mathematical morphology.
Zaharescu Eugen
doaj +1 more source