NDLI: Multiple noise reduction using hybrid method for leaf recognition

Content Provider	IEEE Xplore Digital Library
Author	Valliammal, N. Geethalakshmi, S.N.
Copyright Year	2012
Description	Author affiliation: Department of Computer Science, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore-641 043. INDIA (Valliammal, N.; Geethalakshmi, S.N.)
Abstract	Plant recognition is very demanding in biology and agriculture as new plant discovery and the computerization of the management of plant species become more popular. Developing an automatic plant recognition system becomes a very challenging task. Image pre-processing techniques, such as filtering for noise reduction and enhancement of the image is highly essential. The computerized plant recognition mainly suppresses noise in the input image leading to stable feature extraction of plants. By applying Gaussian noise, the leaf image appears blurred, due to which the edges of the leaf vein is not clearly visible. Speckle noise occurrence is often undesirable, and also very dangerously causes damage to the leaf shape and structure. So, the ultimate goal is to develop a system where both multiple Gaussian and speckle noise can be removed and restored so that the image becomes noise free and produces clear vein and shape of the leaf which is highly essential for further process. Hybrid filter method is developed to remove the noise, enhance the quality of image and thereby produces better results compared to other traditional filters. Different parametric metrics are used to evaluate the performance of the hybrid filter and proves by giving suitable results when compared to other traditional filters.
Starting Page	708
Ending Page	712
File Size	1605670
Page Count	5
File Format	PDF
ISBN	9781457715457
e-ISBN	9781457715464
DOI	10.1109/ICDCSyst.2012.6188689
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-03-15
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms Multiple noise PSNR Wiener filter Plants (biology) Noise reduction Gaussian and speckle noise Wavelet thresholding Speckle Denoising
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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