image database 中文意思是什麼

image database 解釋
圖像數據庫
  • image : n 1 像,肖像,畫像;偶像。2 影像,圖像。3 相像的人(或物);翻版。4 形像,典型。5 形像化的描繪。6...
  1. In the end of the paper, the method is tested on 80 gray - level images and 44 color images which are selected from the stirling image database

    在最後,本文應用striling數據庫中的80幅灰度圖像和44幅彩色圖像對本方法進行了測試。
  2. Abstract : in order to make an solution to modeling the image database system, this paper proposes an image data model idm, which decomposes the image object into the primary table of stable attributes and assistant tables of variable attributes and are temporarily organized to access the image data when making query and inference. it can model with unified mode each scheme of the image database system structure

    文摘:為解決圖象數據庫建模,提出一種新的圖象數據模型,將圖象對象分解為由穩定屬性組成的主表部分和若干個可變屬性組成的副表部分,查詢推理時對主表和副表臨時組織以完成圖象數據的存取管理等,它能對圖象數據庫5級模式結構的每級模式一致建模。
  3. Then, lda is followed and employed for the second feature extraction in the transformed space. based on this framework, a combinatorial optimal lda ( olda ) algorithm is proposed. experiments is performed on orl face image database as well as nust603 face image database, and the experimental results indicate that olda is robust, efficient and superior to the previous lda - based methods in terms of recognition accuracy

    進一步地,在該理論框架下,具體給出了處理高維、小樣本問題的組合最優的線性鑒別分析演算法,在orl標準人臉庫和nust603人臉庫上的試驗結果證實了該方法的卓越性能,在識別率方面均優于以往的同類方法。
  4. The main results in this paper as follows : first, a prototype of a shape - based image database retrieval system is completed, it can receive the query mode both by giving an example image and by sketching the desired object on the screen, second, five shape - based image retrieval methods are realized ; third, an algorithm based on triangulation for shape - based image retrieval is brought forward. in this algorithm, firstly, the edge of the original image is followed and the candidate corners in the original image are detected. then the counterpoints of the candidate corners in the result of edge follow are found, and the boundary corners whose counterpoints have been found are queued in the order of their counterpoints in edge follow

    同時本文中主要完成了以下三方面的工作:完成了一個基於形狀特徵的圖象檢索的原型系統,可實現例子圖象或徒手繪草圖兩種查詢方式;實現了五種利用形狀特徵進行圖象檢索的具體方法,並對其進行了分析比較;並且在繼承將三角剖分引入形狀檢索的思想基礎上提出了利用三角剖分進行形狀檢索的一種新演算法:先對原圖象進行邊界跟蹤和角點檢測;然後尋找初始角點在邊界跟蹤中的對應點,並對找到對應點的角點按其對應點在邊界跟蹤中的順序進行排序;再對排序后的角點進行德洛內三角剖分,得到能表示目標真實形狀的三角形序列;最後計算三角形序列的角度直方圖作為形狀特徵,並進行相似性匹配。
  5. The query strategy for historic building image database based on semantic network

    基於語義網路的古建築圖像數據庫的查詢策略
  6. The experimental system extract the low - level features of images such as hsv histogram, the texture got from coexistence matrix, color correlogram, and according to the characteristic of our image database, design the evaluation function such as the average rank ratio to evaluate and compare the performance of different integration of different features including semantic, and validate the active effect of feedback using experiment results

    該原型系統提取了hsv直方圖、共生矩陣紋理、顏色相關圖等底層特徵,同時根據圖像數據庫的特點,設計了平均位置比值等評價函數對語義特徵與底層特徵的各種結合的檢索性能進行了比較分析,並對反饋效果進行了實驗驗證。
  7. This paper discusses the characters of semantic objects in lung ct images, the methods of extracting semantic objects from lung ct images, the methods of classification the semantic objects with svm and the creating and using of semantic objects tables in lung ct image database

    摘要主要討論了支持基於語義查詢的肺部ct圖像庫中語義對象的特點,基於支持向量機分類的語義對象提取方法,及相應的語義對象庫表的建立和使用。
  8. Designing image database program with vb. net

    設計圖形數據庫程序
  9. Design of content - based retrieval in remote sensing image database

    遙感影像數據庫基於內容檢索系統的構建
  10. The system has connected an system administrative workstation at system cybernetics laboratory at chung yuan university, and two distributed image database workstations at national pet / cyclotron center and national cheng kung university hospital in taiwan

    本系統已連接位於中原大學系統研究室之系統管理工作站,和分別位於國家多目標醫用?旋加速器中心與成功大學附設醫院之分散式影像資料庫工作站。
  11. Relevance feedback techniques and high dimensional indexing schemes are two significant research issues for content - based image retrieval in large - scale image database

    相關反饋方法和高維數據的索引機制是面向大規模圖像庫基於內容檢索的兩個重要問題。
  12. This paper is focused on images watermarking algorithms. watermark casting operates in frequency domain, embeds pseudo - random sequence of real number in selected coefficients without image degradation. a blind watermark retrieval technique that can detect the embedded watermark without resorting the original image is proposed, so that the proposed techniques represents a major improvements to those relying on the comparison between the watermarked and original image, which is not practical for a huge image database

    本文主要研究針對圖像水印系統的演算法研究,採用偽隨機序列作為水印信號,利用變換域系數作為水印的載體,在不降低圖像質量的前提下達到嵌入水印的目的,在恢復水印的過程中無需原始圖像的參與,相比較那些需要利用原始圖像恢復數據的系統,文中所提出的方案更具有實用性。
  13. In this dissertation a new statistical tool called as grey - primitive co - occurrence matrix is proposed, which is based on predefined specific primitive texture structures. the features extracts from a set of this type matrix can be formed as a primitive texture feature vector and used in retrieving images from image database

    本文將統計方法與結構方法有機地結合起來,構建了紋理基元,提出了描述紋理圖像的灰度?基元共生矩陣,從這個矩陣中提取用以描述圖像的特徵值,並組成檢索圖像的特徵向量。
  14. The paper holds certain referential value and practical significance in promoting the development of retrieval technique of image database

    本文的研究和實踐對于促進基於內容的圖像數據庫檢索技術的應用具有一定的參考價值和實踐意義。
  15. Design and exploit the database of cd - 400cg ict system adopts the image processing technique, database technique and web technique, expands the technical application in traditional database, increases the image querying, image processing function. the application of web technique will infuse into the new vitality for the image database again, making the department of ct test more convenient and obtain images for needing information fastly, easy to share the image resources in internet

    Cd - 400cg型ict系統配套數據庫的設計與開發採用了圖像處理技術、數據庫技術和web技術,拓展了傳統數據庫技術的應用范圍,增添了圖像查詢、圖像處理功能, web技術的應用又為圖像數據庫注入了新的活力,使得ct檢測的有關部門能夠更加方便、快捷的獲取所需的圖像信息,便於實現internet環境下圖像資源的共享。
  16. Now, qbic ( query by image content ) is adopted to deal with this problem. qbic is querying goal image from image database by likely features

    基於內容的圖像檢索技術就是從代表圖像本身的內容入手來檢索數據庫中與目標圖像近似的圖像。
  17. The thesis studies and demonstrates hybrid structure of image database system querying by image content ( qbic ) in - b / s mode and its framework relying on the basic theory of the image processing, the distributed multi - tier applications, component object model and web database technology

    以圖像處理技術、分散式多層應用系統、組件對象技術、 web數據庫技術的基本理論為基礎,研究並提出了基於內容查詢的b s模式圖像數據庫系統及其體系結構。
  18. Aimed at static image retrieval based on color, a multimedia image database which included three layers was designed and the search algorithm of the correlation and polymerization histogram was used in the article. to show color characteristic of image, the method of the hsb ( hue, saturation, brightness ) color space, which is suitable to the visual characteristic of human, is utilized. taking advance of human ' s feeling to color, it quantifies color sector with unequal interval, and get characteristic vector

    針對基於顏色的靜態圖像檢索,本文設計了一個三層的多媒體圖像數據庫,選用基於相關聚合直方圖的演算法,採用符合人類視覺特徵的hsb顏色空間來表示圖像的顏色特徵,利用人對顏色的感知來對顏色分量進行非等間隔的量化並形成特徵矢量,用距離度量函數進行圖像的相似性匹配。
  19. With the continuing growth of the world wild web services over the internet, the demands of rapid image transmission over a network link of limited bandwidth and economical storage of a large image database are increasing rapidly

    象聲音、圖像、視頻等這樣的多媒體信息往往佔用很大的傳輸帶寬和存儲空間。對它們的處理的工作量也往往非常大。
  20. In the research, the system captures real - time images based on the sdk, and saves the image data into buffers which are created by the system. the important and primary parts are got using the programs which are designed to process and analyze the image data in the buffers, and the geometrical features such as area, perimeter, moment invariants and fourier descriptor, are measured. the parts are classified according to the threshold of each geometrical feature with the image database

    課題研究中,在設計的試驗平臺上,通過攝像頭和sdk開發包對零件進行實時圖像採集,並將其存入開辟的數據緩沖區內;由設計的圖形處理模塊對緩沖區內的數據採用各種演算法進行分析處理,形成研究中感興趣的重要圖像;調用圖像識別判斷模塊,主要提取了零件的周長,面積,慣性矩,傅立葉描繪子等形狀特徵參數,根據定義的識別函數,並結合圖像數據庫,進行零件識別或缺陷檢測。
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