Cluster identification using image processing

J Yang, J Zhu - Particuology, 2015 - Elsevier
… Using ɛ sct , the core cluster fraction is calculated by dividing the total number of pixels in
the core cluster by the total number of image pixels. The variation of the core cluster fraction …

A method of clustering observers with different visual characteristics

T Niimi, K Imai, M Ikeda, H Maeda - European journal of radiology, 2006 - Elsevier
… This study showed a usefulness of the cluster method to select personnels with the
similar perceptual predisposition when a C–D phantom was used in image quality control. …

Using fuzzy clustering in structural methods of image classification

VО Gorokhovatskyi, IS Tvoroshenko… - Telecommunications …, 2020 - dl.begellhouse.com
… centroids of the clusters [18]. The use of the fuzzy logic apparatus in clustering multiple image
descriptors allows one to qualitatively take into account the properties of the cluster system …

A novel method based on image processing to visualize clusters in a rectangular circulating fluidized bed riser

J Yang, J Zhu - Powder technology, 2014 - Elsevier
… lower U g are beneficial for clusters with higher solids holdup to form, while lower G s and
… U g induce clusters to breakup. This consistency proves that the image processing method

Development of effective methods for structural image recognition using the principles of data granulation and apparatus of fuzzy logic

YI Daradkeh, I Tvoroshenko, V Gorokhovatskyi… - IEEE …, 2021 - ieeexplore.ieee.org
… means of image processing. Methods of statistical modeling, granulation of data and fuzzy
sets, detection and comparison of keypoints on the image, classification and clustering of data…

Phasor-based image segmentation: machine learning clustering techniques

A Vallmitjana, B Torrado, E Gratton - Biomedical optics express, 2021 - opg.optica.org
… In an attempt to explore the range of possible clustering methods we simulated lifetime
phasor data and compared the performance at clustering this data with a subset of some of the …

Clustering-based methodology with minimal user supervision for displaying cell-phenotype signatures in image-based screening

WC Tjhi, KK Lee, T Hung, YS Ong… - 2010 IEEE …, 2010 - ieeexplore.ieee.org
… Our methodology starts from numerical features of cellimages, removes outliers through the
… in-house image datasets of HeLa cells’ Golgi Apparatus were used to test our methodology. …

… in un fluido biologico e relativa apparecchiatura di analisi/Method to analyze the cluster formation process in a biological fluid and corresponding analysis apparatus

A Affanni, MR Cozzi, L DE MARCO, M Mazzucato… - 2012 - air.uniud.it
… ) to stimulate a clustering process in the biological … images relating to the formation of
clusters are acquired in at least one investigation area (34) of the micro-channel (33).The method

K-Means clustering and neural network for object detecting and identifying abnormality of brain tumor

N Arunkumar, MA Mohammed, MK Abd Ghani… - Soft Computing, 2019 - Springer
Image clustering is gathering the pixels as indicated by the a few attributes. In the k-means
method, … information is just conceivable with the online assessment apparatus. The diagnostic …

A method and apparatus for surface modification by gas-cluster ion impact

JA Northby, T Jiang, GH Takaoka, I Yamada… - … and Methods in Physics …, 1993 - Elsevier
… We report here a preliminary study of the effects of Ar cluster ions of relatively low energy (15
… The cluster size distribution was measured by time of flight and retarding potential methods. …