NDLI: A boundary expansion method for analysis of cell neighborhoods and identification of cells in plant cross sectional images

Content Provider	IEEE Xplore Digital Library
Author	Sarma, A.S.V.
Copyright Year	2013
Description	Author affiliation: Chennai Centre, Central Electron. Eng. Res. Inst., Chennai, India (Sarma, A.S.V.)
Abstract	Microscopic inspection of plant cross sections is widely used for identification of plants and assessing their suitability for specific applications. The inspection involves identification and evaluation of different types of tissues, cells, specialized cells and cell inclusions in plant cross section. The present paper describes a boundary expansion method based on image analysis and distance transform techniques suitable for detailed analysis of neighborhood of individual cells in plant cross sectional images. The proposed method involves expanding the boundary of a selected cell, analyzing the encroachment of the expanding boundary on the neighboring cells and determining the properties of the cell neighborhood and the neighboring cells relative to the boundary of the selected cell. The proposed method allows determination of identity and number of neighboring cells, spacings with neighboring cells and dimensions of neighboring cells parallel and perpendicular to the selected cell boundary. The method is useful for identification of certain types of plant cells exhibiting distinguishable properties of their neighbourhood and neighboring cells relative to the cell boundary. The usefulness of the proposed method is demonstrated for identification of xylem cells and mucilage ducts in plant cross sectional images.
Starting Page	243
Ending Page	247
File Size	313725
Page Count	5
File Format	PDF
ISBN	9781479914395
e-ISBN	9781479914418
DOI	10.1109/ICAES.2013.6659401
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-21
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Shape Xylem Ducts Plant anatomy Transforms Plant cell classification Inspection Mucilage duct Distance transform Image analysis Optical microscopy Microscopy Plants (biology)
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

Segmentation of cells with inclusions in plant cross sectional images

Counting clustered cells using distance mapping

Microscopic Cell Segmentation and Dead Cell Detection Based on CFSE and PI Images by Using Distance and Watershed Transforms

Method to classify xylem cell types using cross sectionsof 1-year-old branches in Mediterranean woody species

Hand shape recognition using distance transform and shape decomposition

Cell Image Processing Based on Distance Transform and Regional Growth

Transform based approach for Indic script identification from handwritten document images

Segmentation of wood microanatomy images using multiscale classification

Mobile plant species classification: A low computational aproach

A boundary expansion method for analysis of cell neighborhoods and identification of cells in plant cross sectional images

Similar Documents

Segmentation of cells with inclusions in plant cross sectional images

Counting clustered cells using distance mapping

Microscopic Cell Segmentation and Dead Cell Detection Based on CFSE and PI Images by Using Distance and Watershed Transforms

Method to classify xylem cell types using cross sectionsof 1-year-old branches in Mediterranean woody species

Hand shape recognition using distance transform and shape decomposition

Cell Image Processing Based on Distance Transform and Regional Growth

Transform based approach for Indic script identification from handwritten document images

Segmentation of wood microanatomy images using multiscale classification

Mobile plant species classification: A low computational aproach

A boundary expansion method for analysis of cell neighborhoods and identification of cells in plant cross sectional images