Similarity measure and domain adaptation in multiple mixture model clustering: An application to image processing

Similarity measure and domain adaptation in multiple mixture model clustering: An application to image processing

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This paper considers three crucial issues in processing scaled down image, the representation of partial image, similarity measure and domain adaptation. Two Gaussian mixture model based algorithms are proposed to effectively preserve image details and avoids image degradation. Multiple partial imag...

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Bibliographic Details
Main Authors: Leong, S.H (Author), Ong, S.H (Author)
Format: Article
Language:English
Published: Public Library of Science 2017
Subjects:
algorithm
Algorithms
Bayes theorem
Bayes Theorem
cluster analysis
Cluster Analysis
degradation
human
Humans
image processing
Image Processing, Computer-Assisted
maximum likelihood method
microscopy
Microscopy
Models, Statistical
multimodal imaging
Multimodal Imaging
normal distribution
Normal Distribution
photography
Photography
procedures
simulation
statistical model
statistics and numerical data
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