NDLI: Noise induced segmentation of noisy color image

Content Provider	IEEE Xplore Digital Library
Author	Krishna, Onkar Jha, Rajib Kumar Tiwari, Anil Kumar Soni, Badal
Copyright Year	2013
Description	Author affiliation: Indian Institute of Technology Jodhpur, India (Krishna, Onkar; Tiwari, Anil Kumar) \|\| Ropar, India (Jha, Rajib Kumar) \|\| NIT Silchar, India (Soni, Badal)
Abstract	In this paper we have proposed Noise Induced HSI model based noisy and blurred colour image segmentation technique. This approach uses additive noise to suppress the effect of internal noise present in an image for proper detection of objects from such images. In this algorithm we decompose a given image in Hue, Saturation and Intensity (HSI) components and then apply processing on intensity component of the decomposed image. We measured performance of proposed algorithm in terms of correlation coefficient and number of mismatch pixels. The effectiveness of the proposed algorithm is compared with the different existing techniques. It is observed that the computational complexity of our algorithm is less in comparison with several existing techniques, because it deals only with intensity component of the decomposed image. Furthermore, an additional advantage, our technique of segmentation gives better performance as compared to SSR based segmentation using RGB model, SR-extended, integrated region matching, watershed and marker controlled watershed based segmentation method.
Starting Page	1
Ending Page	5
File Size	2561822
Page Count	5
File Format	PDF
ISBN	9781467359504
e-ISBN	9781467359528
e-ISBN	9781467359511
DOI	10.1109/NCC.2013.6487939
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-02-15
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Image color analysis Stochastic resonance Noise Color Superathreshold stochastic resonance Noise measurement Colored noise
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

Adaptive Stochastic Resonance in Color Object Segmentation

Noise-induced contrast enhancement of dark images using non-dynamic stochastic resonance

Color facial image denoising based on rpca and noisy pixel detection

Collaborative noise reduction using color-line model

Optical fish estimation and detection in noisy environment

Chromatic / Achromatic Separation in Noisy Document Images

Automatic system for restoring old color postcards

An automated system for colored retinal image background and noise segmentation

Pseudo four-channel image denoising for noisy CFA raw data

Noise induced segmentation of noisy color image

Similar Documents

Adaptive Stochastic Resonance in Color Object Segmentation

Noise-induced contrast enhancement of dark images using non-dynamic stochastic resonance

Color facial image denoising based on rpca and noisy pixel detection

Collaborative noise reduction using color-line model

Optical fish estimation and detection in noisy environment

Chromatic / Achromatic Separation in Noisy Document Images

Automatic system for restoring old color postcards

An automated system for colored retinal image background and noise segmentation

Pseudo four-channel image denoising for noisy CFA raw data

Noise induced segmentation of noisy color image