image data retrieval 中文意思是什麼
image data retrieval
解釋
圖象數據檢索-
The remote sensing quantitative retrieval model for the appraisable factors of desertification monitoring are founded. in naiman country, inner mongolia, the experimental area, the hyperspectral imaging spectrometer data in plant growth seasons are collected by state - produced airborne hyperspectral imaging spectrometer omis - i, and the etm + image is also obtained. meanwhile, ground investigation and measurement are made, which include the measurement on reflection feature of different kinds of geo - targets and the ground investigation data necessary for spectral rebuilding and retrieval models of the appraisable factors of desertification monitoring
本研究以內蒙古奈曼旗作為研究試驗區，採用我國自行研製的機載高光譜成像光譜儀omis - ，在植被生長季節取得高光譜解析度成像光譜儀數據和etm ~ +圖像，並進行了同步的地面調查及量測，包括不同類型地物反射特性量測和光譜重建以及荒漠化監測評價因子定量反演模型所必需的地面樣方調查數據。 -
A fuzzy image data model and a concept of fuzzy space are proposed, in which model visual feature, spatial feature and semantic feature are used for super feature in order to utilize advantage of traditional relation database as well as characteristics of image data and fuzzy retrieval. based fuzzy space, a method of similarity measurement of image is presented to support fuzzy features - based image retrieval and satisfy user ' s query requirement for image. in the thesis, a semantic template and the mechanism of dynamic relevant feedback are defined so that it can express user ' s query semantic and improve retrieval precision and useable capability for image retrieval
研究了模糊檢索方法和相關反饋機制在圖象檢索中的應用，提出了一種模糊圖象數據模型和模糊空間的概念，該模型將可視特徵、空間特徵、語義特徵看作超屬性，既充分利用了傳統關系數據庫的優點，同時又考慮了圖象數據以及模糊查詢的特點，文中提出的模糊空間和模糊相似性度量方法能支持基於模糊特徵的圖象查詢，較好地體現用戶圖象查詢的應用需求，文中定義的語義模板和相關反饋機制能在一定程度上表達用戶的查詢語義，提高圖象檢索的準確率和易用性。 -
5. a mixed data model called relation - level - object, which is used to image retrieval system in flood prevention, is presented in order to satisfy special access requirement for image data and spatial data. with the research results of this dissertation, a prototype system, a content - based engineering image retrieval system, is designed and implemented
研究了圖象檢索技術在水利行業中的應用，提出了關系?層次?面向對象的混合數據模型，並擴展數據模型以滿足多媒體數據與空間數據的特殊情況，摘要研究了系統實現的具體技術方案，設計並實現了一個用於工情圖象檢索模型系統。 -
The contribution of this dissertation : an image retrieval approach based on dct compressed domain is proposed. first, reorder dct coefficients using multiresolution wavelet transform, then build subband energy histograms formed from reordered dct coefficients of database images, build indices of images by using morton order and order database for indexing by using variant b - tree data structure
本論文的貢獻：提出了一種將jpeg圖象的dct系數按照多解析度小波變換的形式進行重組，得到若干子帶並建立子帶能量直方圖作為特徵，在按照morton的順序建立索引，並對索引採用變形b樹數據結構組織，進行檢索的方法。 -
Because the fourier transform is widely applied in engineering and the polar coordinate systems has superiority in data " rotation and scaling, the improved dpft algorithm can also be implemented in many fields such as image registration, image retrieval and radar signal processing
由付立葉變換在工程應用中的廣泛性和極坐標系在處理二維數據旋轉和尺度變換上的優越性，該演算法也可用於圖象配準、圖象檢索和雷達信號處理等應用領域。 -
Machine learning and statistical modeling approach is a simple yet effective technique for image retrieval, but the retrieval performance is often dependent on a large number of training data
機器學習和統計方法是一種有效的提高檢索性能的方法，但通常需要大量的訓練樣本才能達到滿意的檢索精度。 -
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。 -
Methods in space / frequency domain : a group of gabor filters are used in texture - based image retrieval ; by analyzing how the energy changes with the decomposing of wavelet, tree - structured wavelet transform in texture - based image retrieval is selected to use. as for similarity measurement of texture - based image retrieval, this paper demonstrates two data models related to the similarity measurement and proposes two kinds of multi - feature combination structures
在空間頻域聯合的方法中，將構造的一組gabor濾波器用於圖象紋理檢索；通過分析紋理圖象經過小波分解后的能量變化特點，提出了選用樹型小波分解方法用於紋理檢索，提高了檢索的有效性。 -
For the non - structured image data, the traditional text - based image retrieval is so inefficient and thereby the content - based image retrieval is bought forward and it has developed a lot
對于非結構化的圖像數據，傳統的基於文字的檢索方法效率很低，為此人們提出了基於內容的圖像檢索技術，並且取得了一定的進展。 -
A large number of images come forth because of the prevalence of multimedia technology and the implementation of internet technology. traditional text keyword - based retrieval approach ca n ' t adapt to the demand of image data retrieval, so content - based image retrieval ( cbir ) technology becomes the current research focus
多媒體技術的普及和internet技術的實施導致了大量圖像信息的出現，基於文本關鍵詞的傳統檢索方法已經不能適應圖像信息檢索的要求，這使得基於內容的圖像檢索技術逐漸成為目前的研究熱點。 -
Relevance feedback techniques are important approaches closing up the semantic gap between high - level concepts and low - level features in image retrieval effectively, and efficient indexing schemes for high - dimensional data are required for real - time retrieval in large - scale image database
相關反饋方法是彌合圖像檢索中高層語義和低層特徵之間語義間隔的一個重要途徑，而有效的高維索引機制則是面向大規模圖像庫的檢索能夠達到實時性要求的關鍵技術。 -
Demand for effectively managing the huge amount of image data becomes more and more urgent, because traditional retrieval methods based on keyword and description text are not competent for it while resources of images and videos becomes more and more abundant in modern information era
隨著圖像和視頻資源的日益豐富，基於關鍵字和描述文本的傳統檢索模式已不能勝任使用需要，有效管理海量數據資源的需求變得日益迫切。
分享友人