| 書目名稱 | Feature Extraction in Medical Image Retrieval | | 副標(biāo)題 | A New Design of Wave | | 編輯 | Aswini Kumar Samantaray,Amol D. Rahulkar | | 視頻video | http://file.papertrans.cn/342/341560/341560.mp4 | | 概述 | Covers all fundamentals of wavelet and filter banks.Helpful to the readers who intend to start their research in wavelet and filter banks.Covers all the works which have been done on design of wavelet | | 圖書封面 |  | | 描述 | Medical imaging is fundamental to modern healthcare, and its widespread use has resulted in creation of image databases. These repositories contain images from a diverse range of modalities, multidimensional as well as co-aligned multimodality images. These image collections offer opportunity for evidence-based diagnosis, teaching, and research. Advances in medical image analysis over last two decades shows there are now many algorithms and ideas available that allow to address medical image analysis tasks in commercial solutions with sufficient performance in terms of accuracy, reliability and speed. Content-based image retrieval (CBIR) is an image search technique that complements the conventional text-based retrieval of images by using visual features, such as color, texture, and shape, as search criteria. This book emphasizes the design of wavelet filter-banks as efficient and effective feature descriptors for medical image retrieval..Firstly, a generalized novel design of a family of multiplier-free orthogonal wavelet filter-banks is presented. In this, the dyadic filter coefficients are obtained based on double-shifting orthogonality property with allowable deviation from ori | | 出版日期 | Book 2024 | | 關(guān)鍵詞 | Orthogonal Wavelet; Dyadic Coefficients; Vanishing Moment; Daubechies Wavelet; Gabor Wavelet; Feature Ext | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-57279-1 | | isbn_softcover | 978-3-031-57281-4 | | isbn_ebook | 978-3-031-57279-1 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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