NDLI: Compression of pre-computed per-pixel texture features using MDS

Content Provider	IEEE Xplore Digital Library
Author	Wai-Man Pang Hon-Cheng Wong
Copyright Year	2010
Description	Author affiliation: Faculty of Information Technology, Macau University of Science and Technology, Macao, China (Hon-Cheng Wong) \|\| Spatial Media Group, Computer Arts Lab. University of Aizu, Aizu-Wakamatsu, Japan (Wai-Man Pang)
Abstract	There are many successful experiences employing texture analysis to improve the accuracy and robustness of image segmentation. Usually, per-pixel based texture analysis is required, which involves intensive computation especially for large images. Precomputation and storing of the texture features involves large file space which is not cost effective. To adopt to these novel needs, we propose the use of multidimensional scaling (MDS) technique to reduce the size of per-pixel texture features of an image while preserving the textural discrminiability for segmentation. Per-pixel texture features will create very large dissimilarity matrix, making the solving of MDS intractable. A sampling-based MDS is therefore introduced to tackle the problem with a divide-and-conquer approach. A compression ratio of 1:24 can be achieved with an average error rate lower than 7%. Preliminary experiments on segmentation using the compressed data show satisfactory results as good as using the uncompressed features. We foresee that such a method will allow texture features to be stored and transferred more efficiently on low processing power devices or embedded systems like mobile phones.
Starting Page	390
Ending Page	393
File Size	319122
Page Count	4
File Format	PDF
ISBN	9781424471348
e-ISBN	9781424471355
DOI	10.1109/PCS.2010.5702517
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-08
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms Image segmentation Compressed texture features Image coding Ultrasonic imaging Compression Gabor wavelet transform Feature extraction Multidimensional scaling Kidney
Content Type	Text
Resource Type	Article

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