Results 21 to 30 of about 9,000,286 (286)
Linear spatio-temporal scale-space [PDF]
, 1997 This article shows how a linear scale-space formulation previously expressed for spatial domains extends to spatio-temporal data. Starting from the main assumptions that: (i) the scale-space should be generated by convolution with a semi-group of filter ...
Lindeberg, Tony +2 more
core +1 more source
Color image segmentation using a spatial k-means clustering algorithm [PDF]
, 2006 This paper details the implementation of a new adaptive technique for color-texture segmentation that is a generalization of the standard K-Means algorithm. The standard K-Means algorithm produces accurate segmentation results only when applied to images
Ilea, Dana E., Whelan, Paul F.
core +2 more sources
Selected Applications of Scale Spaces in Microscopic Image Analysis
Cybernetics and Information Technologies, 2015 Image segmentation methods can be classified broadly into two classes: intensity-based and geometry-based. Edge detection is the base of many geometry-based segmentation approaches.
Prodanov Dimiter +2 more
doaj +1 more source
IEEE AccessMedical image segmentation plays an essential role in computer-aided diagnosis, supports physicians with fast and accurate information to make timely treatment decisions.
Yu Liu, Yanping Chen, Yang Yu
doaj +1 more source
IEEE AccessMedical image segmentation requires accurate lesion boundary delineation under complex structural variations and interference conditions. However, lightweight models are constrained by their limited parameter capacity and computational budgets, making it
Siyi Li, Gaocai Wang, Yiwen Li
doaj +1 more source
Performance characterization of clustering algorithms for colour image segmentation [PDF]
, 2006 This paper details the implementation of three traditional clustering techniques (K-Means clustering, Fuzzy C-Means clustering and Adaptive K-Means clustering) that are applied to extract the colour information that is used in the image segmentation ...
Ilea, Dana E. +2 more
core +2 more sources
Coarse-to-Fine Segmentation With Shape-Tailored Scale Spaces
CoRR, 2016 We formulate a general energy and method for segmentation that is designed to have preference for segmenting the coarse structure over the fine structure of the data, without smoothing across boundaries of regions. The energy is formulated by considering data terms at a continuum of scales from the scale space computed from the Heat Equation within ...
Ganesh Sundaramoorthi +2 more
openaire +2 more sources
Diversity and complexity in neural organoids
FEBS Letters, EarlyView.Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley +1 more source
Automatic segmentation of skin cancer images using adaptive color clustering [PDF]
, 2006 This paper presents the development of an adaptive image segmentation algorithm designed for the identification of the skin cancer and pigmented lesions in dermoscopy images. The key component of the developed algorithm is the Adaptive Spatial K-Means (A-
Ilea, Dana E., Whelan, Paul F.
core +2 more sources
The Empirical Watershed Wavelet
Journal of Imaging, 2020 The empirical wavelet transform is an adaptive multi-resolution analysis tool based on the idea of building filters on a data-driven partition of the Fourier domain.
Basile Hurat +2 more
doaj +1 more source