Loading…
COMPUTER PROCESSING OF SEM IMAGES BY CONTOUR ANALYSES
Techniques involving the computer processing of scanning electron microscope (SEM) images using a contouring approach have been developed. For each picture from one to six different SEM signals are converted from analog to digital form and recorded on magnetic tape for subsequent computer analysis....
Saved in:
Main Authors: | , , , , |
---|---|
Format: | Report |
Language: | English |
Subjects: | |
Online Access: | Request full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | |
container_end_page | |
container_issue | |
container_start_page | |
container_title | |
container_volume | |
creator | Matson,William L McKinstry,Herbert A Johnson,Gerald G. , Jr White,Eugene W McMillan,Ralph E |
description | Techniques involving the computer processing of scanning electron microscope (SEM) images using a contouring approach have been developed. For each picture from one to six different SEM signals are converted from analog to digital form and recorded on magnetic tape for subsequent computer analysis. A program finds and analyzes coordinate arrays representing the reconstructed computer picture. Least squares fitting of the contour arrays to ellipses provides measurements of the aspect ratios and orientations of the picture fields. Line integration techniques produce areas and perimeters. Computer plotting enables both the visual comparison of the reconstructed picture with a photograph of the image on the cathode ray type of the SEM and an estimate of the accuracy of the ellipse fits. (Author) |
format | report |
fullrecord | <record><control><sourceid>dtic_1RU</sourceid><recordid>TN_cdi_dtic_stinet_AD0701782</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>AD0701782</sourcerecordid><originalsourceid>FETCH-dtic_stinet_AD07017823</originalsourceid><addsrcrecordid>eNrjZDB19vcNCA1xDVIICPJ3dg0O9vRzV_B3Uwh29VXw9HV0dw1WcIpUcPb3C_EPDVJw9HP0iQx2DeZhYE1LzClO5YXS3Awybq4hzh66KSWZyfHFJZl5qSXxji4G5gaG5hZGxgSkAW7wJMk</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>report</recordtype></control><display><type>report</type><title>COMPUTER PROCESSING OF SEM IMAGES BY CONTOUR ANALYSES</title><source>DTIC Technical Reports</source><creator>Matson,William L ; McKinstry,Herbert A ; Johnson,Gerald G. , Jr ; White,Eugene W ; McMillan,Ralph E</creator><creatorcontrib>Matson,William L ; McKinstry,Herbert A ; Johnson,Gerald G. , Jr ; White,Eugene W ; McMillan,Ralph E ; PENNSYLVANIA STATE UNIV UNIVERSITY PARK MATERIALS RESEARCH LAB</creatorcontrib><description>Techniques involving the computer processing of scanning electron microscope (SEM) images using a contouring approach have been developed. For each picture from one to six different SEM signals are converted from analog to digital form and recorded on magnetic tape for subsequent computer analysis. A program finds and analyzes coordinate arrays representing the reconstructed computer picture. Least squares fitting of the contour arrays to ellipses provides measurements of the aspect ratios and orientations of the picture fields. Line integration techniques produce areas and perimeters. Computer plotting enables both the visual comparison of the reconstructed picture with a photograph of the image on the cathode ray type of the SEM and an estimate of the accuracy of the ellipse fits. (Author)</description><language>eng</language><subject>Computer Hardware ; COMPUTER PROGRAMMING ; Computer Programming and Software ; ELECTRON MICROSCOPY ; LEAST SQUARES METHOD ; MAPPING ; OPTICAL IMAGES ; OPTICAL SCANNING ; PATTERN RECOGNITION ; PHOTOGRAMMETRY</subject><creationdate>1970</creationdate><rights>APPROVED FOR PUBLIC RELEASE</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,780,885,27567,27568</link.rule.ids><linktorsrc>$$Uhttps://apps.dtic.mil/sti/citations/AD0701782$$EView_record_in_DTIC$$FView_record_in_$$GDTIC$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Matson,William L</creatorcontrib><creatorcontrib>McKinstry,Herbert A</creatorcontrib><creatorcontrib>Johnson,Gerald G. , Jr</creatorcontrib><creatorcontrib>White,Eugene W</creatorcontrib><creatorcontrib>McMillan,Ralph E</creatorcontrib><creatorcontrib>PENNSYLVANIA STATE UNIV UNIVERSITY PARK MATERIALS RESEARCH LAB</creatorcontrib><title>COMPUTER PROCESSING OF SEM IMAGES BY CONTOUR ANALYSES</title><description>Techniques involving the computer processing of scanning electron microscope (SEM) images using a contouring approach have been developed. For each picture from one to six different SEM signals are converted from analog to digital form and recorded on magnetic tape for subsequent computer analysis. A program finds and analyzes coordinate arrays representing the reconstructed computer picture. Least squares fitting of the contour arrays to ellipses provides measurements of the aspect ratios and orientations of the picture fields. Line integration techniques produce areas and perimeters. Computer plotting enables both the visual comparison of the reconstructed picture with a photograph of the image on the cathode ray type of the SEM and an estimate of the accuracy of the ellipse fits. (Author)</description><subject>Computer Hardware</subject><subject>COMPUTER PROGRAMMING</subject><subject>Computer Programming and Software</subject><subject>ELECTRON MICROSCOPY</subject><subject>LEAST SQUARES METHOD</subject><subject>MAPPING</subject><subject>OPTICAL IMAGES</subject><subject>OPTICAL SCANNING</subject><subject>PATTERN RECOGNITION</subject><subject>PHOTOGRAMMETRY</subject><fulltext>true</fulltext><rsrctype>report</rsrctype><creationdate>1970</creationdate><recordtype>report</recordtype><sourceid>1RU</sourceid><recordid>eNrjZDB19vcNCA1xDVIICPJ3dg0O9vRzV_B3Uwh29VXw9HV0dw1WcIpUcPb3C_EPDVJw9HP0iQx2DeZhYE1LzClO5YXS3Awybq4hzh66KSWZyfHFJZl5qSXxji4G5gaG5hZGxgSkAW7wJMk</recordid><startdate>19700109</startdate><enddate>19700109</enddate><creator>Matson,William L</creator><creator>McKinstry,Herbert A</creator><creator>Johnson,Gerald G. , Jr</creator><creator>White,Eugene W</creator><creator>McMillan,Ralph E</creator><scope>1RU</scope><scope>BHM</scope></search><sort><creationdate>19700109</creationdate><title>COMPUTER PROCESSING OF SEM IMAGES BY CONTOUR ANALYSES</title><author>Matson,William L ; McKinstry,Herbert A ; Johnson,Gerald G. , Jr ; White,Eugene W ; McMillan,Ralph E</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-dtic_stinet_AD07017823</frbrgroupid><rsrctype>reports</rsrctype><prefilter>reports</prefilter><language>eng</language><creationdate>1970</creationdate><topic>Computer Hardware</topic><topic>COMPUTER PROGRAMMING</topic><topic>Computer Programming and Software</topic><topic>ELECTRON MICROSCOPY</topic><topic>LEAST SQUARES METHOD</topic><topic>MAPPING</topic><topic>OPTICAL IMAGES</topic><topic>OPTICAL SCANNING</topic><topic>PATTERN RECOGNITION</topic><topic>PHOTOGRAMMETRY</topic><toplevel>online_resources</toplevel><creatorcontrib>Matson,William L</creatorcontrib><creatorcontrib>McKinstry,Herbert A</creatorcontrib><creatorcontrib>Johnson,Gerald G. , Jr</creatorcontrib><creatorcontrib>White,Eugene W</creatorcontrib><creatorcontrib>McMillan,Ralph E</creatorcontrib><creatorcontrib>PENNSYLVANIA STATE UNIV UNIVERSITY PARK MATERIALS RESEARCH LAB</creatorcontrib><collection>DTIC Technical Reports</collection><collection>DTIC STINET</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Matson,William L</au><au>McKinstry,Herbert A</au><au>Johnson,Gerald G. , Jr</au><au>White,Eugene W</au><au>McMillan,Ralph E</au><aucorp>PENNSYLVANIA STATE UNIV UNIVERSITY PARK MATERIALS RESEARCH LAB</aucorp><format>book</format><genre>unknown</genre><ristype>RPRT</ristype><btitle>COMPUTER PROCESSING OF SEM IMAGES BY CONTOUR ANALYSES</btitle><date>1970-01-09</date><risdate>1970</risdate><abstract>Techniques involving the computer processing of scanning electron microscope (SEM) images using a contouring approach have been developed. For each picture from one to six different SEM signals are converted from analog to digital form and recorded on magnetic tape for subsequent computer analysis. A program finds and analyzes coordinate arrays representing the reconstructed computer picture. Least squares fitting of the contour arrays to ellipses provides measurements of the aspect ratios and orientations of the picture fields. Line integration techniques produce areas and perimeters. Computer plotting enables both the visual comparison of the reconstructed picture with a photograph of the image on the cathode ray type of the SEM and an estimate of the accuracy of the ellipse fits. (Author)</abstract><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | |
ispartof | |
issn | |
language | eng |
recordid | cdi_dtic_stinet_AD0701782 |
source | DTIC Technical Reports |
subjects | Computer Hardware COMPUTER PROGRAMMING Computer Programming and Software ELECTRON MICROSCOPY LEAST SQUARES METHOD MAPPING OPTICAL IMAGES OPTICAL SCANNING PATTERN RECOGNITION PHOTOGRAMMETRY |
title | COMPUTER PROCESSING OF SEM IMAGES BY CONTOUR ANALYSES |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-29T05%3A49%3A50IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-dtic_1RU&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=unknown&rft.btitle=COMPUTER%20PROCESSING%20OF%20SEM%20IMAGES%20BY%20CONTOUR%20ANALYSES&rft.au=Matson,William%20L&rft.aucorp=PENNSYLVANIA%20STATE%20UNIV%20UNIVERSITY%20PARK%20MATERIALS%20RESEARCH%20LAB&rft.date=1970-01-09&rft_id=info:doi/&rft_dat=%3Cdtic_1RU%3EAD0701782%3C/dtic_1RU%3E%3Cgrp_id%3Ecdi_FETCH-dtic_stinet_AD07017823%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |