scan conversion 中文意思是什麼

scan conversion 解釋
掃描轉換
  • scan : vt （ nn ）1 細看，細察；審視。2 〈口語〉大略一閱；瀏覽。3 按韻節念，按句調讀，標出（詩）的格律（...
  • conversion : n 1 變換，轉化，轉換；換算，換位。2 （意見、信仰等的）改變〈特指改信基督教〉；（車身，設備等的）...
  1. This dissertation first discusses the two - dimension interpolation algorithm and coordinate rotation digital computer algorithm involved in the process of designing system. then the paper particularly probes into the research and development of b - mode digital scan converter, m - mode digital scan converter and graphic circuitry in the digital scan conversion system

    本文首先對系統設計過程中引入的二維線性插值演算法和坐標旋轉數字計算演算法進行了討論，然後著重論述了數字掃描變換系統中的b型數字掃描變換器、 m型數字掃描變換器和圖形界面電路的原理、設計與實現。
  2. This dissertation mainly studies the high - performance digital scan conversion system applied in the digital ultrasound diagnostic equipment

    論文主要研究應用於全數字超聲診斷設備中的高性能數字掃描變換系統。
  3. The ultrasound diagnostic equipment using the technologies of digital scan conversion and digital beam forming is defined as the digital ultrasound diagnostic equipment

    採用數字掃描變換技術和數字聲束形成技術的超聲診斷設備被稱為全數字超聲診斷設備。
  4. The hardware circuitry of the whole digital scan conversion system is realized through the complex programmable logic devices so as to improve stability, flexibility and real - time of the digital hardware circuitry. a high - performance digital scan conversion system is researched and developed

    整個數字掃描變換系統的硬體電路都使用復雜可編程邏輯器件實現，增加了數字電路系統的實時性、穩定性和靈活性，設計和實現了一種高性能的數字掃描變換系統。
  5. The digital scan conversion system developed is the most domestically advanced concerning both the performance and the technology. besides applied in developed digital ultrasound diagnostic equipment by project group, the digital scan conversion system can be used as a reference for the digital circuitry system applied in other equipments

    我們研製的數字掃描變換系統無論是性能還是技術都處于國內領先地位，不僅能夠應用於項目組開發的國內第一臺全數字超聲診斷設備，而且其設計的方法和使用的技術對其它設備中的數字電路系統也有借鑒意義。
  6. Television scan conversion display

    電視掃描變換顯示器
  7. First, the basic raster graphics algorithms for drawing 2d primitives are introduced, including edge coherence and the scan - line algorithm of triangle, brush algorithm of thick line ( and its improved method ) and midpoint circle and ellipse algorithm ; and the current situation of the advanced algorithms is also involved. second, the mapping of high level programming language to hardware description language is described, some principles of the conversion of algorithm to state machine are proposed also ; then, the implementation of basic graphics in hardware is discussed in detail, the state machines are drawn in the paper, and the interfaces of hardware are defined, block diagrams too, and the advanced algorithm of conic is proved ; finally, some issues about test are described, the results of simulation and synthesis are given in the last, and some detailed data are displayed in the appendix

    首先介紹了現有的基本圖形生成演算法，包括三角形邊相關掃描演算法，寬直線的線刷子演算法及其改進和圓形、橢圓的生成演算法，同時介紹了加速演算法的研究現狀；然後，討論了高級語言描述到硬體描述語言的映射，提出了演算法到狀態機抽象的規律；接著具體討論了基本圖形的硬體實現，給出了各演算法的狀態機圖，介面定義和實現框架，並且從理論角度給出了二次曲線加速演算法的證明：最後採用軟體工具進行測試驗證，給出了模擬、綜合實現的結果，並在附錄中有詳細的實驗結果數據。
  8. Later on, after elaborating the disadvantages of the old methods in detecting and recognizing moving objects, a series of corresponding approaches are proposed, such as grid scan, local tracking bug and dynamic window in object tracing to reduce the huge data needed to be processed, maximum and minimum for selecting a proper segmentation threshold and improved conversion from rgb model to hsv and so on to decrease the influence of inhomogeneous lighting and the color noise, a bilinear interpolation in each quadrant to eliminate the bad effect on the recognition precise because of the distortions of the camera. after that, much emphasis is given on application study in pattern recognition with a feed - forward neural network. both the basic bp algorithm and improved bp algorithm in the study process are described in detail, and the later is used to quicken convergence speed and improve validity of the network

    然後，分析和闡明了傳統的運動目標檢測方法的不足，並在此基礎上結合研究中的實際實驗環境，提出了一系列解決方法，包括針對降低龐大數據量而提出的網格掃描、局部「跟蟲」追蹤和動態窗口掃描等目標檢測方法，針對實驗環境中光照不均和顏色干擾提出基於人機交互的最大最小值閾值選取方法和引入改進的rgb模型到hsv模型的轉換方法，為消除圖像畸變對識別精度的惡劣影響而採用的通過控制點進行雙線性插值進行畸變校正的方法；緊接著，概述了神經網路的發展歷史和幾種常用神經網路模型的特點，重點研究了前饋型神經網路在模式識別中的應用問題，詳細闡述了基本的bp演算法和學習過程中bp演算法的改進，從而使網路收斂速度更快，解決問題更有效，並在此基礎上，設計了一個基於bp神經網路的運動目標識別系統，給出了實驗結果。
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