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Authors: Yukinori Suzuki ; Hiromu Sakakita and Junji Maeda

Affiliation: Muroran Institute of Technology, Japan

ISBN: 978-989-758-069-7

Keyword(s): Fuzzy and Crisp Clustering Algorithms, Vector Quantization, Code Book Design.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Fuzzy Systems and Signals ; Medical Image Detection, Acquisition, Analysis and Processing

Abstract: Image coding technologies are widely studies not only to economize storage device but also to use communication channel effectively. In various image coding technologies, we have been studied vector quantization. Vector quantization technology does not cause deterioration image quality in a high compression region and also has a negligible computational cost for image decoding. It is therefore useful technology for communication terminals with small payloads and small computational costs. Furthermore, it is also useful for biomedical signal processing: medical imaging and medical ultrasound image compression. Encoded and/or decoded image quality depends on a code book that is constructed in advance. In vector quantization, a code book determines the performance. Various clustering algorithms were proposed to design a code book. In this paper, we examined effect of typical clustering (crisp clustering and fuzzy clustering) algorithms in terms of applications of vector quantization. Two sets of experiments were carried out for examination. In the first set of experiments, the learning image to construct a code book was the same as the test image. In practical vector quantization, learning images are different from test images. Therefore, learning images that were different from test images were used in the second set of experiments. The first set of experiments showed that selection of a clustering algorithm is important for vector quantization. However, the second set of experiments showed that there is no notable difference in performance of the clustering algorithms. For practical applications of vector quantization, the choice of clustering algorithms to design a code book is not important. (More)

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Paper citation in several formats:
Suzuki, Y.; Sakakita, H. and Maeda, J. (2015). Effect of Fuzzy and Crisp Clustering Algorithms to Design Code Book for Vector Quantization in Applications.In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2015) ISBN 978-989-758-069-7, pages 198-205. DOI: 10.5220/0005207501980205

@conference{biosignals15,
author={Yukinori Suzuki. and Hiromu Sakakita. and Junji Maeda.},
title={Effect of Fuzzy and Crisp Clustering Algorithms to Design Code Book for Vector Quantization in Applications},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2015)},
year={2015},
pages={198-205},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005207501980205},
isbn={978-989-758-069-7},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2015)
TI - Effect of Fuzzy and Crisp Clustering Algorithms to Design Code Book for Vector Quantization in Applications
SN - 978-989-758-069-7
AU - Suzuki, Y.
AU - Sakakita, H.
AU - Maeda, J.
PY - 2015
SP - 198
EP - 205
DO - 10.5220/0005207501980205

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