Loading…
Chemometrics‐assisted color histogram‐based analytical systems
This review systematizes for the first time the here called “Chemometrics‐assisted color histogram‐based analytical systems” under the acronym CACHAS. A comprehensive discussion of the fundamentals, general characteristics, and applications are presented in order to direct practical aspects for deve...
Saved in:
Published in: | Journal of chemometrics 2020-12, Vol.34 (12), p.n/a |
---|---|
Main Author: | |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c2932-8e7342873acf4ad0aaee593c234a2986cbc0a29ea041ede8e8c4430ad76dd3043 |
---|---|
cites | cdi_FETCH-LOGICAL-c2932-8e7342873acf4ad0aaee593c234a2986cbc0a29ea041ede8e8c4430ad76dd3043 |
container_end_page | n/a |
container_issue | 12 |
container_start_page | |
container_title | Journal of chemometrics |
container_volume | 34 |
creator | Gonçalves Dias Diniz, Paulo Henrique |
description | This review systematizes for the first time the here called “Chemometrics‐assisted color histogram‐based analytical systems” under the acronym CACHAS. A comprehensive discussion of the fundamentals, general characteristics, and applications are presented in order to direct practical aspects for developing methods that use color histograms as input data for the construction of chemometric models. For this, analytical information is rapidly acquired using a simple image acquisition device (such as digital camera, webcam, scanner, or smartphone), without need for any image processing, other than extraction of the histograms, which are constructed by counting the frequency distribution of the different color tones (conveniently specified through a color space) of all pixels delimited by a region of interest in a digital image. As a consequence, CACHAS have been increasingly used for qualitative and quantitative purposes in food, agricultural, forensic, biomedical, and microbiological analysis, reinforcing the principles of green analytical chemistry. |
doi_str_mv | 10.1002/cem.3242 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2470819938</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2470819938</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2932-8e7342873acf4ad0aaee593c234a2986cbc0a29ea041ede8e8c4430ad76dd3043</originalsourceid><addsrcrecordid>eNp1kMtKA0EQRRtRMEbBTwi4cTOx-mGmZ6lDfEDEjYK7ptJTMRNm7Ng1QWbnJ_iNfokd49ZVPe6huHWFOJUwlgDqwlM71sqoPTGQUBSZVPZlXwzA2klWaKsPxRHzCiBp2gzEdbmkNrTUxdrz9-cXMtfcUTXyoQlxtExDeI3YJmmOnPb4hk3f1R6bEfeJbPlYHCywYTr5q0PxfDN9Ku-y2ePtfXk1y7wqtMos5doom2v0C4MVIBJdFtorbVAVduLnHlJDCEZSRZasN0YDVvmkqjQYPRRnu7vrGN43xJ1bhU1Mdtgpk4OVxfa_oTjfUT4G5kgLt451i7F3Etw2IZcSctuEEprt0I-6of5fzpXTh1_-B4klacg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2470819938</pqid></control><display><type>article</type><title>Chemometrics‐assisted color histogram‐based analytical systems</title><source>Wiley-Blackwell Read & Publish Collection</source><creator>Gonçalves Dias Diniz, Paulo Henrique</creator><creatorcontrib>Gonçalves Dias Diniz, Paulo Henrique</creatorcontrib><description>This review systematizes for the first time the here called “Chemometrics‐assisted color histogram‐based analytical systems” under the acronym CACHAS. A comprehensive discussion of the fundamentals, general characteristics, and applications are presented in order to direct practical aspects for developing methods that use color histograms as input data for the construction of chemometric models. For this, analytical information is rapidly acquired using a simple image acquisition device (such as digital camera, webcam, scanner, or smartphone), without need for any image processing, other than extraction of the histograms, which are constructed by counting the frequency distribution of the different color tones (conveniently specified through a color space) of all pixels delimited by a region of interest in a digital image. As a consequence, CACHAS have been increasingly used for qualitative and quantitative purposes in food, agricultural, forensic, biomedical, and microbiological analysis, reinforcing the principles of green analytical chemistry.</description><identifier>ISSN: 0886-9383</identifier><identifier>EISSN: 1099-128X</identifier><identifier>DOI: 10.1002/cem.3242</identifier><language>eng</language><publisher>Chichester: Wiley Subscription Services, Inc</publisher><subject>Analytical chemistry ; Chemometrics ; Color ; Digital cameras ; Digital imaging ; Frequency distribution ; green analytical chemistry ; Histograms ; Image acquisition ; Image processing ; Mathematical analysis ; Microbiological analysis ; multivariate calibration ; pattern recognition ; Qualitative analysis ; RGB color space ; Systems analysis ; Webcams</subject><ispartof>Journal of chemometrics, 2020-12, Vol.34 (12), p.n/a</ispartof><rights>2020 John Wiley & Sons, Ltd.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2932-8e7342873acf4ad0aaee593c234a2986cbc0a29ea041ede8e8c4430ad76dd3043</citedby><cites>FETCH-LOGICAL-c2932-8e7342873acf4ad0aaee593c234a2986cbc0a29ea041ede8e8c4430ad76dd3043</cites><orcidid>0000-0002-8652-5478</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Gonçalves Dias Diniz, Paulo Henrique</creatorcontrib><title>Chemometrics‐assisted color histogram‐based analytical systems</title><title>Journal of chemometrics</title><description>This review systematizes for the first time the here called “Chemometrics‐assisted color histogram‐based analytical systems” under the acronym CACHAS. A comprehensive discussion of the fundamentals, general characteristics, and applications are presented in order to direct practical aspects for developing methods that use color histograms as input data for the construction of chemometric models. For this, analytical information is rapidly acquired using a simple image acquisition device (such as digital camera, webcam, scanner, or smartphone), without need for any image processing, other than extraction of the histograms, which are constructed by counting the frequency distribution of the different color tones (conveniently specified through a color space) of all pixels delimited by a region of interest in a digital image. As a consequence, CACHAS have been increasingly used for qualitative and quantitative purposes in food, agricultural, forensic, biomedical, and microbiological analysis, reinforcing the principles of green analytical chemistry.</description><subject>Analytical chemistry</subject><subject>Chemometrics</subject><subject>Color</subject><subject>Digital cameras</subject><subject>Digital imaging</subject><subject>Frequency distribution</subject><subject>green analytical chemistry</subject><subject>Histograms</subject><subject>Image acquisition</subject><subject>Image processing</subject><subject>Mathematical analysis</subject><subject>Microbiological analysis</subject><subject>multivariate calibration</subject><subject>pattern recognition</subject><subject>Qualitative analysis</subject><subject>RGB color space</subject><subject>Systems analysis</subject><subject>Webcams</subject><issn>0886-9383</issn><issn>1099-128X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp1kMtKA0EQRRtRMEbBTwi4cTOx-mGmZ6lDfEDEjYK7ptJTMRNm7Ng1QWbnJ_iNfokd49ZVPe6huHWFOJUwlgDqwlM71sqoPTGQUBSZVPZlXwzA2klWaKsPxRHzCiBp2gzEdbmkNrTUxdrz9-cXMtfcUTXyoQlxtExDeI3YJmmOnPb4hk3f1R6bEfeJbPlYHCywYTr5q0PxfDN9Ku-y2ePtfXk1y7wqtMos5doom2v0C4MVIBJdFtorbVAVduLnHlJDCEZSRZasN0YDVvmkqjQYPRRnu7vrGN43xJ1bhU1Mdtgpk4OVxfa_oTjfUT4G5kgLt451i7F3Etw2IZcSctuEEprt0I-6of5fzpXTh1_-B4klacg</recordid><startdate>202012</startdate><enddate>202012</enddate><creator>Gonçalves Dias Diniz, Paulo Henrique</creator><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7U5</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0002-8652-5478</orcidid></search><sort><creationdate>202012</creationdate><title>Chemometrics‐assisted color histogram‐based analytical systems</title><author>Gonçalves Dias Diniz, Paulo Henrique</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2932-8e7342873acf4ad0aaee593c234a2986cbc0a29ea041ede8e8c4430ad76dd3043</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Analytical chemistry</topic><topic>Chemometrics</topic><topic>Color</topic><topic>Digital cameras</topic><topic>Digital imaging</topic><topic>Frequency distribution</topic><topic>green analytical chemistry</topic><topic>Histograms</topic><topic>Image acquisition</topic><topic>Image processing</topic><topic>Mathematical analysis</topic><topic>Microbiological analysis</topic><topic>multivariate calibration</topic><topic>pattern recognition</topic><topic>Qualitative analysis</topic><topic>RGB color space</topic><topic>Systems analysis</topic><topic>Webcams</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gonçalves Dias Diniz, Paulo Henrique</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Journal of chemometrics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gonçalves Dias Diniz, Paulo Henrique</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Chemometrics‐assisted color histogram‐based analytical systems</atitle><jtitle>Journal of chemometrics</jtitle><date>2020-12</date><risdate>2020</risdate><volume>34</volume><issue>12</issue><epage>n/a</epage><issn>0886-9383</issn><eissn>1099-128X</eissn><abstract>This review systematizes for the first time the here called “Chemometrics‐assisted color histogram‐based analytical systems” under the acronym CACHAS. A comprehensive discussion of the fundamentals, general characteristics, and applications are presented in order to direct practical aspects for developing methods that use color histograms as input data for the construction of chemometric models. For this, analytical information is rapidly acquired using a simple image acquisition device (such as digital camera, webcam, scanner, or smartphone), without need for any image processing, other than extraction of the histograms, which are constructed by counting the frequency distribution of the different color tones (conveniently specified through a color space) of all pixels delimited by a region of interest in a digital image. As a consequence, CACHAS have been increasingly used for qualitative and quantitative purposes in food, agricultural, forensic, biomedical, and microbiological analysis, reinforcing the principles of green analytical chemistry.</abstract><cop>Chichester</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1002/cem.3242</doi><tpages>27</tpages><orcidid>https://orcid.org/0000-0002-8652-5478</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0886-9383 |
ispartof | Journal of chemometrics, 2020-12, Vol.34 (12), p.n/a |
issn | 0886-9383 1099-128X |
language | eng |
recordid | cdi_proquest_journals_2470819938 |
source | Wiley-Blackwell Read & Publish Collection |
subjects | Analytical chemistry Chemometrics Color Digital cameras Digital imaging Frequency distribution green analytical chemistry Histograms Image acquisition Image processing Mathematical analysis Microbiological analysis multivariate calibration pattern recognition Qualitative analysis RGB color space Systems analysis Webcams |
title | Chemometrics‐assisted color histogram‐based analytical systems |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-25T14%3A05%3A27IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Chemometrics%E2%80%90assisted%20color%20histogram%E2%80%90based%20analytical%20systems&rft.jtitle=Journal%20of%20chemometrics&rft.au=Gon%C3%A7alves%20Dias%20Diniz,%20Paulo%20Henrique&rft.date=2020-12&rft.volume=34&rft.issue=12&rft.epage=n/a&rft.issn=0886-9383&rft.eissn=1099-128X&rft_id=info:doi/10.1002/cem.3242&rft_dat=%3Cproquest_cross%3E2470819938%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c2932-8e7342873acf4ad0aaee593c234a2986cbc0a29ea041ede8e8c4430ad76dd3043%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2470819938&rft_id=info:pmid/&rfr_iscdi=true |