NDLI: Beyond <formula formulatype=inline><tex Notation=TeX>${chi^2}$</tex> </formula> Difference: Learning Optimal Metric for Boundary Detection

Content Provider	IEEE Xplore Digital Library
Author	Fei He Shengjin Wang
Copyright Year	1994
Abstract	This letter focuses on solving the challenging problem of detecting natural image boundaries. A boundary usually refers to the border between two regions with different semantic meanings. Therefore, a measurement of dissimilarity between image regions plays a pivotal role in boundary detection of natural images. To improve the performance of boundary detection, a Learning-based Boundary Metric (LBM) is proposed to replace χ² difference adopted by the classical algorithm mPb. Compared with χ² difference, LBM is composed of a single layer neural network and an RBF kernel, and is fine-tuned by supervised learning rather than human-crafted. It is more effective in describing the dissimilarity between natural image regions while tolerating large variance of image data. After substituting χ² difference with LBM, the F-measure metric of mPb on the BSDS500 benchmark is increased from 0.69 to 0.71. Moreover, when image features are computed on a single scale, the proposed LBM algorithm still achieves competitive results compared with mPb, which makes use of multi-scale image features.
Sponsorship	IEEE Signal Processing Society
Starting Page	40
Ending Page	44
Page Count	5
File Size	804955
File Format	PDF
ISSN	10709908
Volume Number	22
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Measurement Feature extraction Kernel Vectors Neural networks Signal processing algorithms Supervised learning stochastic gradient descent Boundary detection logistic function neural network RBF kernel
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Signal Processing Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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