NDLI: Automatic Image Segmentation Using Pulse Coupled Neural Network and Independent Component Analysis

Content Provider	IEEE Xplore Digital Library
Author	Wang Cheng Li Shaofa He Kai Lin Zhengchun Jiang Changjin
Copyright Year	2010
Abstract	In order to determine the cyclic iteration times of Pulse Coupled Neural Network (PCNN) image segmentation effectively, and obtain the image segmentation result including regions of interest(ROI), an image segmentation method based on PCNN and Independent Component Analysis (ICA) is proposed in this paper. First, extract the independent signal sources corresponding to the image including ROI through ICA. Then, detect the signal sources corresponding to the segmentation result of the each iteration to achieve the output of target image including ROI. The experimental results demonstrate its validity, and the images including ROI correspond to unified independent signal sources. Evaluations of the proposed method are, the average cyclic iteration times N is 5.6, the average runtime is 0.08s, and the accuracy of target image outputs is 98.6%.
Starting Page	261
Ending Page	263
File Size	328834
Page Count	3
File Format	PDF
ISBN	9781424465958
e-ISBN	9781424465965
DOI	10.1109/MVHI.2010.149
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image processing Neurons Independent Component Analysis Independent component analysis Helium Pulse Coupled Neural Network Image segmentation Machine vision Neural networks Regions of interest Man machine systems Joining processes Pixel
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

Multiclass segmentation of SAR image using modified unit-linking pulse coupled neural network

High Spatial Resolution remote sensing Image segmentation using Temporal Independent Pulse Coupled Neural Network

Image segmentation using pulse coupled neural networks

A Simplified Pulse-Coupled Neural Network for Cucumber Image Segmentation

Multi-object segmentation based on pulse coupled neural network

Image Segmentation Using Pulse Coupled Neural Networks

Threshold potential optimization in the Pulse Coupled Neural Network

Application of Pulse Coupled Neural Network in Image Recognition

Stereo vision using pulse-coupled neural network

Automatic Image Segmentation Using Pulse Coupled Neural Network and Independent Component Analysis

Similar Documents

Multiclass segmentation of SAR image using modified unit-linking pulse coupled neural network

High Spatial Resolution remote sensing Image segmentation using Temporal Independent Pulse Coupled Neural Network

Image segmentation using pulse coupled neural networks

A Simplified Pulse-Coupled Neural Network for Cucumber Image Segmentation

Multi-object segmentation based on pulse coupled neural network

Image Segmentation Using Pulse Coupled Neural Networks

Threshold potential optimization in the Pulse Coupled Neural Network

Application of Pulse Coupled Neural Network in Image Recognition

Stereo vision using pulse-coupled neural network

Automatic Image Segmentation Using Pulse Coupled Neural Network and Independent Component Analysis