Ink-Jet Printer’s Characterization by 3D Gradation Trajectories on an Equidistant Color Difference Basis

Результат исследований: Глава в книге, отчете, сборнике статейМатериалы конференцииНаучно-исследовательскаярецензирование

2 Цитирования (Scopus)
Язык оригиналаАнглийский
Название основной публикацииImage and Video Technology - 8th Pacific-Rim Symposium, PSIVT 2017, Revised Selected Papers
ИздательSpringer Verlag
Страницы40-52
Число страниц13
Том10749 LNCS
ISBN (печатное издание)9783319757858
DOI
СостояниеОпубликовано - 1 янв 2018
Событие8th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2017 - Wuhan, Китай
Продолжительность: 20 ноя 201724 ноя 2017

Серия публикаций

НазваниеLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Том10749 LNCS
ISSN (печатное издание)0302-9743
ISSN (электронное издание)1611-3349

Конференция

Конференция8th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2017
СтранаКитай
ГородWuhan
Период20/11/201724/11/2017

Отпечаток

Ink jet printers
Equidistant
Trajectories
Trajectory
Color
Curve
Differential Geometry
Ink
Geometry

Ключевые слова

    Предметные области ASJC Scopus

    • Theoretical Computer Science
    • Computer Science(all)

    Предметные области WoS

    • Компьютерные науки, Искусственный интеллект
    • Компьютерные науки, Теория и методы
    • Технологии, Электро и электронные
    • Наука о визуализации и фототехнологии

    Цитировать

    Milder, O., & Tarasov, D. (2018). Ink-Jet Printer’s Characterization by 3D Gradation Trajectories on an Equidistant Color Difference Basis. В Image and Video Technology - 8th Pacific-Rim Symposium, PSIVT 2017, Revised Selected Papers (Том 10749 LNCS, стр. 40-52). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 10749 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-75786-5_4
    Milder, Oleg ; Tarasov, Dmitry. / Ink-Jet Printer’s Characterization by 3D Gradation Trajectories on an Equidistant Color Difference Basis. Image and Video Technology - 8th Pacific-Rim Symposium, PSIVT 2017, Revised Selected Papers. Том 10749 LNCS Springer Verlag, 2018. стр. 40-52 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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    title = "Ink-Jet Printer’s Characterization by 3D Gradation Trajectories on an Equidistant Color Difference Basis",
    keywords = "Characterization, Dot–gain, Gradation trajectories, Ink-jet, Profile",
    author = "Oleg Milder and Dmitry Tarasov",
    year = "2018",
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    Milder, O & Tarasov, D 2018, Ink-Jet Printer’s Characterization by 3D Gradation Trajectories on an Equidistant Color Difference Basis. в Image and Video Technology - 8th Pacific-Rim Symposium, PSIVT 2017, Revised Selected Papers. том. 10749 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), том. 10749 LNCS, Springer Verlag, стр. 40-52, 8th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2017, Wuhan, Китай, 20/11/2017. https://doi.org/10.1007/978-3-319-75786-5_4

    Ink-Jet Printer’s Characterization by 3D Gradation Trajectories on an Equidistant Color Difference Basis. / Milder, Oleg; Tarasov, Dmitry.

    Image and Video Technology - 8th Pacific-Rim Symposium, PSIVT 2017, Revised Selected Papers. Том 10749 LNCS Springer Verlag, 2018. стр. 40-52 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 10749 LNCS).

    Результат исследований: Глава в книге, отчете, сборнике статейМатериалы конференцииНаучно-исследовательскаярецензирование

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    Milder O, Tarasov D. Ink-Jet Printer’s Characterization by 3D Gradation Trajectories on an Equidistant Color Difference Basis. В Image and Video Technology - 8th Pacific-Rim Symposium, PSIVT 2017, Revised Selected Papers. Том 10749 LNCS. Springer Verlag. 2018. стр. 40-52. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-75786-5_4