cbir 中文意思是什麼

cbir 解釋
基於內容的圖像檢索系統
  1. This dissertation deals with the content - based image retrieval ( cbir ) theory and technique ; some new features and tools for more concisely and discriminatingly charactering the content of an image are proposed, such as region - based color histogram, grey - primitive co - occurrence matrix, ratio of centripetal moment, ratio of eccentric moment and ratio of inertial moment. a new modified genetic algorithm is also described in this dissertation, which can upgrade the performance of standard genetic algorithm ( sga ) while used in image segmentation

    本文以圖像數據庫檢索為主線，討論了基於視覺內容的圖像檢索方法，提出包括基於區域顏色直方圖、灰度?基元共生矩陣及向心矩比、偏心矩比、慣性矩比的特徵描述方式；對遺傳演算法存在的早熟、收斂到最優解慢等問題提出了解決方法，並將改進遺傳演算法應用到圖像分割中，編制了相應程序。
  2. Key issues in cbir include extracting features from raw images, matching query and stored images in a way that reflects human similarity judgment

    本論文主要針對如何描述圖象內容，準確、自動地提取特徵，以及精確地對圖象內容進行相似性度量。
  3. Then design and implement the cbir test platform. the platform using automation technique implements the general interfaces of adding function, relevant feedback, original image maintenance, storing result and so on. according to the standard of the general interface, researchers can add any retrieval algorithm to this platform and test the results

    該平臺應用自動化技術設計並實現了通用的功能添加、相關反饋、源圖象維護、結果保存等介面，實驗設計與分析人員只需按照介面的標準即可將圖象檢索演算法動態添加到試驗平臺中，測試結果。
  4. Content based image retrieval ( cbir ) means retrieving images based on the image content description features directly. the present research on cbir focuses on the similarity - matching of lower - features, such as color, texture and shape

    基於內容的圖像檢索（ contentbasedimageretrieval ，簡稱cbir ） ，是指直接根據描述圖像內容的各種特徵進行檢索，目前主要集中於底層特徵的相似度匹配的研究，包括顏色、紋理、形狀等。
  5. A multi - feature cbir method on color and texture in the traditional chinese medicine tongue diagnosis

    基於顏色紋理的圖像多特徵檢索技術在中醫舌診中的應用研究
  6. In this article, based on the introduction of framework of cbir with relevance feedback, a real image retrieval system was constructed

    本文詳細介紹了基於相關性反饋技術的圖像檢索系統框架。在此基礎上設計並實現了一個基於相關性反饋技術的圖像檢索系統。
  7. Thirdly, an emphasized research is focused on the appliance of relevance feedback in cbir, and an improved method based on the relevance of the users is given

    本文重點研究了相關反饋機制在圖像檢索中的應用，給出了一種基於用戶反饋的互動式圖像檢索方法。
  8. Content - based image retrieval ( cbir ) is a technique for retrieving images on the basis of image features such as color, texture and shape, etc

    基於內容的圖像檢索技術是指利用圖像內容對圖像進行查詢。
  9. Key issues in cbir include extracting features from raw images, matching query and stored images in a way that reflects human similarity judgement

    圖像的內容包括圖像的顏色特徵、形狀特徵、紋理特徵、語義特徵等。
  10. Content - based image retrieval ( cbir ) systems attempt to solve this problem by retrieval system based on text mode, become one of most active researches in computer vision, image and video processing, data mining and so on. currently the researchers have already designed many content based image retrieval systems. while these researches establish the basis of cbir, the retrieval performance is still far from users ’ expectations

    本文詳細介紹了圖像檢索中常用的特徵，包括顏色、形狀、紋理等及相應的提取方法，對現有的圖像分割演算法進行了研究分析，使用了一種基於圖像顏色和空間信息的彩色圖像分割演算法作為圖像的自動分割演算法，演算法的分割結果與人的主觀視覺感知具有良好的一致性。
  11. Spatial relationship of feature invariable in cbir

    特徵不變量的研究
  12. Retrieval based - on texture features in cbir

    圖像檢索中的關鍵技術
  13. Cbir - content based image retrieval

    基於內容的圖像檢索
  14. Abstracting image ' s content in the level of feature is the base of cbir

    特徵級內容的提取是cbir技術的基礎。
  15. Under this circumstances, cbir come into being and develop

    基於內容的圖像檢索技術就是在這種背景下產生和發展起來。
  16. There is a general introducing of cbir and it ' s developing in chapter 1

    第一章的緒論給出了cbir的概要介紹和目前的發展情況。
  17. So content - based image retrieval ( cbir ) is now the study hot - point in the world

    因此，基於內容的圖像檢索（ cbir ）已經成為當前國內外研究的熱點。
  18. In recent years, cbir is a very active research direction and has been applied to many fields

    近年來，此項技術的研究非常活躍，在許多領域都有應用。
  19. Content - based image retrieval ( cbir ) has been an active research area in recent years

    基於內容的圖像檢索（ cbir ）是目前國內外發展很快的一個研究熱點。
  20. There are three types of searches cbir : based on features, on color, and on knowledge

    檢索從內容的層次上可分為基於特徵的、基於對象的和基於知識的。
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