NDLI: Red Blood Cell classification through shape feature extraction and PSO-CSVM classifier design

Content Provider	IEEE Xplore Digital Library
Author	Ruihu Wang
Copyright Year	2011
Description	Author affiliation: Sch. of Comput. Sci., Chongqing Univ., Chongqing, China (Ruihu Wang)
Abstract	The automatic procession of erythrocyte image is helpful to clinic blood-related disease treatment in Medical Image Computer Aided Diagnosing MICAD. The original input data we concerned were Red Blood Cell images captured by Scanned Electron Microscope(SEM). After 3D height field recovered from the varied shading, the depth map of each point on the surfaces is applied to calculate Gaussian curvature and mean curvature, which are used to produce surface type label image. Accordingly the surface is segmented into different parts through multi-scale bi-variate polynomials function fitting. The count of different surface types is used to design a classifier for training and classifying the red blood cell by means of support vector machine and particle swarm optimization. The combined classifier shows efficient and easily to be implemented.
Sponsorship	IEEE
Starting Page	107
Ending Page	111
File Size	1095393
Page Count	5
File Format	PDF
ISBN	9781457704710
e-ISBN	9788988678534
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-29
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	AICIT
Subject Keyword	Support vector machines Image segmentation Shape Red blood cells Surface fitting Classification algorithms Particle swarm optimization
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

Content-based image classification using PSO-SVM in fuzzy topological space

Fault diagnosis for drivetrain gearboxes using PSO-optimized multiclass SVM classifier

Red Blood Cell Classification through Depth Map and Surface Feature

Particle Swarm Optimization Feature Selection for Image Steganalysis

A Comparative Study of Classification Techniques for Knowledge-Assisted Image Analysis

A new watershed segmentation (NWS) and particle swarm optimization (PSO-SVM) techniques in remote sensing image retrieval

Modulation Recognition Algorithms for Communication Signals Based on Particle Swarm Optimization and Support Vector Machines

Feature Subset Selection for Face Detection Using Genetic Algorithms and Particle Swarm Optimization

A Hybrid Bioinspired Algorithm for Facial Emotion Recognition Using CSO-GA-PSO-SVM

Red Blood Cell classification through shape feature extraction and PSO-CSVM classifier design

Similar Documents

Content-based image classification using PSO-SVM in fuzzy topological space

Fault diagnosis for drivetrain gearboxes using PSO-optimized multiclass SVM classifier

Red Blood Cell Classification through Depth Map and Surface Feature

Particle Swarm Optimization Feature Selection for Image Steganalysis

A Comparative Study of Classification Techniques for Knowledge-Assisted Image Analysis

A new watershed segmentation (NWS) and particle swarm optimization (PSO-SVM) techniques in remote sensing image retrieval

Modulation Recognition Algorithms for Communication Signals Based on Particle Swarm Optimization and Support Vector Machines

Feature Subset Selection for Face Detection Using Genetic Algorithms and Particle Swarm Optimization

A Hybrid Bioinspired Algorithm for Facial Emotion Recognition Using CSO-GA-PSO-SVM

Red Blood Cell classification through shape feature extraction and PSO-CSVM classifier design