NDLI: Integrated features of haar-like wavelet filters

Content Provider	IEEE Xplore Digital Library
Author	Agarwal, M.
Copyright Year	2014
Description	Author affiliation: Dept. of Electron. & Commun. Eng., Jaypee Inst. of Inf. Technol., Noida, India (Agarwal, M.)
Abstract	In this paper a novel feature descriptor by integration of cooccurrence of Haar like wavelet filter (CHLWF) with color histogram (CH) is proposed for content based image retrieval (CBIR). The proposed feature is capable of extracting image properties from different visual perspectives in order to give image representation almost similar to human interpretation. It helps in the improvement of retrieval results in terms of various performance measures. An effort is made to reduce the sensitivity to noise and illumination changes by working on average intensities of the regions. CHLWF is extracted from images and employs only maximal edge responses in feature computation hence, only prominent directional information which can substantially represent an image is used. It provides textural information efficiently with reduced computational complexity. CHLWF also eliminates the step involved in the decision making of thresholds by automatic quantization of coefficients. All these properties assist to show the efficient image representation through CHLWF. Further with the integration of CH feature color information is also incorporated in the final feature and results are improved with respect to related state of art techniques. Since, the main aim of introducing this feature is to improve effectiveness of retrieval system hence; it is affirmed by evaluating the retrieval performance on Corel 1000 benchmark image database.
Sponsorship	IEEE Comput. Soc.
Starting Page	370
Ending Page	375
File Size	1453557
Page Count	6
File Format	PDF
ISBN	9781479951727
e-ISBN	9781479951734
DOI	10.1109/IC3.2014.6897202
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-07
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Content based image retrieval Art Cooccurrence matrix Feature extraction Haar-like wavelet filters Biomedical imaging Color feature
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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