Results 21 to 30 of about 348,539 (265)
, 2007 Active Shape Models often require a considerable number of training samples and landmark points on each sample, in order to be efficient in practice. We introduce the Fractal Active Shape Models, an extension of Active Shape Models using fractal interpolation, in order to surmount these limitations.
Polychronis Manousopoulos +2 more
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The Potential of Active Contour Models in Extracting Road Edges from Mobile Laser Scanning Data
Infrastructures, 2017 Active contour models present a robust segmentation approach, which makes efficient use of specific information about objects in the input data rather than processing all of the data.
Pankaj Kumar, Paul Lewis, Tim McCarthy
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BioMedical Engineering OnLine, 2017 Background In the active shape model framework, principal component analysis (PCA) based statistical shape models (SSMs) are widely employed to incorporate high-level a priori shape knowledge of the structure to be segmented to achieve robustness.
Jinke Wang, Changfa Shi
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Shape Degeneration and Multi-object Search Basing on Multi-shape Priors [PDF]
International Journal of Computational Intelligence Systems, 2011 This paper proposed a framework of segmenting multiple targets basing on multiple shape priors. The key novel idea in the proposed framework is the shape degeneration model. By breaking the balance between the competition regions adaptively, the proposed
Song Chunhe +3 more
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A Numerical Approach to Characterize the Efficiency of Cyclone Separator
Machines, 2023 Cyclone separators are active filtering devices suitable for a variety of industrial applications from conventional cutting oil pumps to recycling liquids.
Yu Rim Kang, Jae B. Kwak
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Intensity Profiles in Active Shape Model
Revue d'Intelligence Artificielle, 2020 Active shape model is a deformable model which has proven very successful results in the field of image segmentation. The success of ASM model lies in its ability to find the right positions of all landmark points which define the object shape. Intensity profiles are an important part of the Active Shape Models (ASM) which help steer and optimize ...
Moulkheir Naoui, Ghalem Belalem
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Journal of ImagingLeft ventricle (LV) segmentation is crucial for cardiac diagnosis but remains challenging in echocardiography. We present ShapeNet, a fully automatic method combining a convolutional neural network (CNN) ensemble with an improved active shape model (ASM).
Eduardo Galicia Gómez +3 more
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Application of Machine Learning for Predicting Bulk Behaviour of Active Pharmaceutical Ingredients
British Journal of Pharmacy, 2023 The aim of this study was to develop models for predicting powder bulk behaviour from particle properties using machine learning methods. The data consisted of various measurements of particle size, shape, and bulk properties for different active ...
Martin Strachon, Marek Schongut
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Softmax-Driven Active Shape Model for Segmenting Crowded Objects in Digital Pathology Images
IEEE AccessAutomated segmentation of histological structures in microscopy images is a crucial step in computer-aided diagnosis framework. However, this task remains a challenging problem due to issues like overlapping and touching objects, shape variation, and ...
Massimo Salvi +2 more
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Role of hydrodynamic flows in chemically driven droplet division
New Journal of Physics, 2018 We study the hydrodynamics and shape changes of chemically active droplets. In non-spherical droplets, surface tension generates hydrodynamic flows that drive liquid droplets into a spherical shape.
Rabea Seyboldt, Frank Jülicher
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