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Titlebook: Recent Trends in Image Processing and Pattern Recognition; Third International K. C. Santosh,Bharti Gawali Conference proceedings 2021 Spr

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書目名稱Recent Trends in Image Processing and Pattern Recognition
副標(biāo)題Third International
編輯K. C. Santosh,Bharti Gawali
視頻videohttp://file.papertrans.cn/824/823453/823453.mp4
叢書名稱Communications in Computer and Information Science
圖書封面Titlebook: Recent Trends in Image Processing and Pattern Recognition; Third International  K. C. Santosh,Bharti Gawali Conference proceedings 2021 Spr
描述This two-volume set constitutes the refereed proceedings of the Third International Conference on Recent Trends in Image Processing and Pattern Recognition (RTIP2R) 2020, held in Aurangabad, India, in January 2020..The 78 revised full papers presented were carefully reviewed and selected from 329 submissions. The papers are organized in topical sections in the two volumes. Part I:?Computer vision and applications; Data science and machine learning;?Document understanding and Recognition. Part II:?Healthcare informatics and medical imaging; Image analysis and recognition;?Signal processing and pattern recognition;?Image and signal processing in Agriculture.?.
出版日期Conference proceedings 2021
關(guān)鍵詞artificial intelligence; classification methods; clustering algorithms; computer networks; computer secu
版次1
doihttps://doi.org/10.1007/978-981-16-0493-5
isbn_softcover978-981-16-0492-8
isbn_ebook978-981-16-0493-5Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Singapore Pte Ltd. 2021
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Recent Trends in Image Processing and Pattern Recognition978-981-16-0493-5Series ISSN 1865-0929 Series E-ISSN 1865-0937
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https://doi.org/10.1007/978-981-16-0493-5artificial intelligence; classification methods; clustering algorithms; computer networks; computer secu
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DWT Textural Feature-Based Classification of Osteoarthritis Using Knee X-Ray Imagesng-based segmentation method is adapted to localize the desired region that is the knee joint region. Extract ROI is converted to discrete wavelet transform to do multi-resolution analysis which helps to detect interesting patterns those are not visible in an input image. As the inflammation cause t
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