{"product_id":"discrete-tomography-foundations-algorithms-and-applications","title":"Discrete Tomography: Foundations, Algorithms, and Applications","description":"\u003cp\u003eIn this review of Discrete Tomography: Foundations, Algorithms, and Applications, the book is recommended primarily for graduate students, researchers, and engineers working at the intersection of imaging and computational reconstruction. The single biggest reason to buy is its focused treatment of reconstruction from projections when the object has only a small number of possible values, which makes it a rare resource for problems in industrial CT and non destructive testing. This review highlights the book's clear goals, mathematical grounding, and practical orientation for specialized tomography tasks.\u003c\/p\u003e\n\u003ch2\u003eKey Features\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eFocused scope:\u003c\/strong\u003e The book concentrates on reconstructing objects with a limited set of possible density values, which is directly useful for materials or binary imaging problems.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePractical motivation:\u003c\/strong\u003e Examples tied to industrial CT and non destructive testing show how the theory applies to real reverse engineering and defect detection tasks.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTheoretical foundations:\u003c\/strong\u003e The text explains the mathematical principles behind recovering density distributions from multiple x ray projections, useful for readers wanting rigorous background.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAlgorithmic emphasis:\u003c\/strong\u003e Coverage of algorithms offers readers concrete approaches to implement reconstruction methods in research and applied settings.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDesigned for specialists:\u003c\/strong\u003e The material is organized around problems where fewer projections are required because the object has limited value levels, making it efficient for targeted applications.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eWho It's For\u003c\/h2\u003e\n\u003cp\u003eDiscrete Tomography is best suited to advanced undergraduates, graduate students, and researchers in computer vision, medical imaging, and applied mathematics who need a focused treatment of reconstruction when objects have discrete or few density values. Practitioners in industrial CT and non destructive testing will appreciate the book's applicability to single material or few material components.\u003c\/p\u003e\n\u003cp\u003eReaders seeking a broad introduction to general computed tomography or those wanting a heavily visual, tutorial style with many step by step examples may want a more elementary text first. This book assumes comfort with mathematical exposition and an interest in algorithmic foundations rather than introductory imaging basics.\u003c\/p\u003e\n\u003ch2\u003ePros \u0026amp; Cons\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003ePros\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eConcise focus on discrete-valued reconstructions provides direct value for industrial CT and similar use cases.\u003c\/li\u003e\n\u003cli\u003eCombines mathematical foundations with algorithmic discussion, helping bridge theory and implementation.\u003c\/li\u003e\n\u003cli\u003eRelevant examples and motivation make the material practical for reverse engineering and non destructive testing.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eCons\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eNot intended as a gentle introduction; readers without mathematical background may find the exposition dense.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eTitle\u003c\/td\u003e\n\u003ctd\u003eDiscrete Tomography: Foundations, Algorithms, and Applications\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSeries\u003c\/td\u003e\n\u003ctd\u003eApplied and Numerical Harmonic Analysis\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAuthors\u003c\/td\u003e\n\u003ctd\u003eGabor T. Herman, Attila Kuba\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePrimary topic\u003c\/td\u003e\n\u003ctd\u003eReconstruction from x ray projections for discrete valued objects\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eIntended audience\u003c\/td\u003e\n\u003ctd\u003eResearchers, graduate students, practitioners in CT and imaging\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eKey applications\u003c\/td\u003e\n\u003ctd\u003eIndustrial CT, non destructive testing, reverse engineering\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\u003ch2\u003eOur Verdict\u003c\/h2\u003e\n\u003cp\u003eDiscrete Tomography is a specialized, well focused resource that pairs rigorous foundations with algorithmic insight, making it a smart purchase for imaging researchers and engineers tackling discrete reconstruction problems. While not a beginner text, its practical orientation toward industrial CT and non destructive testing gives strong value to those needing targeted methods for objects with only a few density values.\u003c\/p\u003e\n\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eDoes this book cover practical CT applications?\u003c\/strong\u003e\u003cbr\u003eYes, it discusses industrial CT, non destructive testing, and reverse engineering applications where objects have limited density values.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eIs advanced math required to follow the book?\u003c\/strong\u003e\u003cbr\u003eThe book assumes comfort with mathematical exposition and algorithmic concepts, so some background in applied mathematics or imaging is recommended.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eWill it help implement reconstruction algorithms?\u003c\/strong\u003e\u003cbr\u003eYes, the text includes algorithmic emphasis and foundations that support implementing reconstruction methods for discrete valued objects.\u003c\/p\u003e","brand":"Gabor T. Herman, Attila Kuba","offers":[{"title":"Default Title","offer_id":48192234455259,"sku":"1461271967","price":141.26,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0724\/1043\/1707\/files\/61lmmv6y8RL._SL1254.jpg?v=1770217907","url":"https:\/\/gearmusthave.com\/products\/discrete-tomography-foundations-algorithms-and-applications","provider":"GearMustHave","version":"1.0","type":"link"}