| 書目名稱 | Image Processing with Cellular Topology |
| 編輯 | Vladimir Kovalevsky |
| 視頻video | http://file.papertrans.cn/462/461454/461454.mp4 |
| 概述 | Introduces abstract cell complex as an important tool for image processing research.Proposes boundary tracing and encoding methods based on abstract cell complex.Presents image processing as an applic |
| 圖書封面 |  |
| 描述 | This book explains why the finite topological space known as abstract cell complex is important for successful image processing and presents image processing methods based on abstract cell complex, especially for tracing and encoding of boundaries of homogeneous regions. Many examples are provided in the book, some teach you how to trace and encode boundaries in binary, indexed and colour images. Other examples explain how to encode a boundary as a sequence of straight-line segments which is important for shape recognition. A new method of edge detection in two- and three-dimensional images is suggested. Also, a discussion problem is included in the book: A derivative is defined as the limit of the relation of the increment of the function to the increment of the argument as the latter tends to zero. Is it not better to estimate derivatives as the relation of the increment of the function to the optimal increment of the argument instead of taking exceedingly small increment whichleads to errors? This book addresses all above questions and provide the answers.. |
| 出版日期 | Book 2021 |
| 關鍵詞 | image processing; abstract cell complex; tracing boundaries; edge detection; digital straight segment; di |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-16-5772-6 |
| isbn_softcover | 978-981-16-5774-0 |
| isbn_ebook | 978-981-16-5772-6 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
|Archiver|手機版|小黑屋|
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