Bit Reduced FCM with Block Fuzzy Transforms for Massive Image Segmentation

Bit Reduced FCM with Block Fuzzy Transforms for Massive Image Segmentation

A novel bit reduced fuzzy clustering method applied to segment high resolution massive images is proposed. The image is decomposed in blocks and compressed by using the fuzzy transform method, then adjoint pixels with same gray level are binned and the fuzzy c-means algorithm is applied on the bins...

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Bibliographic Details
Main Authors: Barbara Cardone, Ferdinando Di Martino
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Information
Subjects:
fuzzy c-means (FCM)
bit-reduced fuzzy c-means (brFCM)
Fuzzy Transform bit reduction FCM clustering algorithm (FTbrFCM)
massive data
image segmentation
Online Access:https://www.mdpi.com/2078-2489/11/7/351

Internet

https://www.mdpi.com/2078-2489/11/7/351

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