Flotation foam image segmentation based on highlight overlap correction and multiple edge constraints

Flotation foam image segmentation based on highlight overlap correction and multiple edge constraints | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Flotation foam image segmentation based on highlight overlap correction and multiple edge constraints Lirong Yang, Cong Sun This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4439156/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Bubble size contains important indicative information, which is closely related to flotation production conditions and process indicators. However, due to the different sizes of bubbles in the flotation process and the complexity of the shooting light environment, satisfactory results cannot be obtained from the existing image segmentation methods. In this paper, an improved watershed algorithm based on multiple edge constraints and highlight collegiate positivity is proposed. First, three algorithms are designed to extract and classify foam highlights of the same size, namely, small foam, medium foam and large foam, and special overlap correction and fusion are applied to these three foams. Then, the bubble boundaries are extracted using the Laplace operator, and the segmentation line is constrained with a positive and inverse 45-degree gradient images as multiple edges to ensure the integrity of the segmentation line. Finally, the fused highlight markers are used to deoptimize the external constraint line for watershed segmentation. The tests show that the method is suitable for multiple sizes of fuzzy edges and foam image segmentation. The experimental results show that the accuracy and robustness of the proposed segmentation algorithm are significantly better than other methods, and the proposed method is suitable for foam image segmentation with fuzzy edges and diverse sizes. Physical sciences/Mathematics and computing/Computer science Physical sciences/Engineering Earth and environmental sciences/Solid earth sciences/Mineralogy bubble images edge constraints image segmentation watershed algorithm Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4439156","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":309366398,"identity":"363023bb-045c-4363-bb73-b0833a42f4be","order_by":0,"name":"Lirong Yang","email":"","orcid":"","institution":"Jiangxi University of Science and Technology","correspondingAuthor":false,"prefix":"","firstName":"Lirong","middleName":"","lastName":"Yang","suffix":""},{"id":309366399,"identity":"867a727d-d77c-4cd5-9e38-5ee327df62d8","order_by":1,"name":"Cong Sun","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA0ElEQVRIiWNgGAWjYBACNvbG5gcfeGzkGBsOHyBOCx/P4TbDGTJpxsyNxxKI0yInkd4gzWFzOLG9+YwBkQ6TSGwwZsg5nNjbdubjjTcMdnK6DYS08DxseFxwJt14Zs/ZzZZzGJKNzQ4Q0sIOtGVmj7Xsxhlnt0nzMBxI3EZQC0NigzTvP2bG/fffPCNSCwdQCw+Ps2Jjwxk2IrXwHAQGMk+aMWPDMWPLOQZE+EW+vf0xLCof3nhTYSdHUAsKkOAhMmqQtZCqYxSMglEwCkYEAADet0fPuYY7CgAAAABJRU5ErkJggg==","orcid":"","institution":"Jiangxi University of Science and Technology","correspondingAuthor":true,"prefix":"","firstName":"Cong","middleName":"","lastName":"Sun","suffix":""}],"badges":[],"createdAt":"2024-05-18 03:08:14","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4439156/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4439156/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":68388572,"identity":"6ac9aece-0d4d-4202-b066-073c3159ce55","added_by":"auto","created_at":"2024-11-06 18:24:00","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1237117,"visible":true,"origin":"","legend":"","description":"","filename":"Flotationfoamimagesegmentationbasedonhighlightoverlapcorrectionandmultipleedgeconstraints.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4439156/v1_covered_37552d7c-f609-4472-b692-c390fd0a8ad3.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Flotation foam image segmentation based on highlight overlap correction and multiple edge constraints","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"bubble images, edge constraints, image segmentation, watershed algorithm","lastPublishedDoi":"10.21203/rs.3.rs-4439156/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4439156/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eBubble size contains important indicative information, which is closely related to flotation production conditions and process indicators. However, due to the different sizes of bubbles in the flotation process and the complexity of the shooting light environment, satisfactory results cannot be obtained from the existing image segmentation methods. In this paper, an improved watershed algorithm based on multiple edge constraints and highlight collegiate positivity is proposed. First, three algorithms are designed to extract and classify foam highlights of the same size, namely, small foam, medium foam and large foam, and special overlap correction and fusion are applied to these three foams. Then, the bubble boundaries are extracted using the Laplace operator, and the segmentation line is constrained with a positive and inverse 45-degree gradient images as multiple edges to ensure the integrity of the segmentation line. Finally, the fused highlight markers are used to deoptimize the external constraint line for watershed segmentation. The tests show that the method is suitable for multiple sizes of fuzzy edges and foam image segmentation. The experimental results show that the accuracy and robustness of the proposed segmentation algorithm are significantly better than other methods, and the proposed method is suitable for foam image segmentation with fuzzy edges and diverse sizes.\u003c/p\u003e","manuscriptTitle":"Flotation foam image segmentation based on highlight overlap correction and multiple edge constraints","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-06-03 10:57:35","doi":"10.21203/rs.3.rs-4439156/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"865bcd34-c20a-4a2f-9600-a9613d4f1b14","owner":[],"postedDate":"June 3rd, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":32690385,"name":"Physical sciences/Mathematics and computing/Computer science"},{"id":32690386,"name":"Physical sciences/Engineering"},{"id":32690387,"name":"Earth and environmental sciences/Solid earth sciences/Mineralogy"}],"tags":[],"updatedAt":"2024-11-06T18:23:47+00:00","versionOfRecord":[],"versionCreatedAt":"2024-06-03 10:57:35","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-4439156","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4439156","identity":"rs-4439156","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}