morphologic model 中文意思是什麼

morphologic model 解釋
形態模型
  • morphologic : adj. 形態學（上）的；【語言學】詞法的,形態的。
  • model : n 1 模型，雛型；原型；設計圖；模範；（畫家、雕刻家的）模特兒；樣板。2 典型，模範。3 （女服裝店僱...
  1. A statistical method is used to obtain the background model, which is updated real time in order to adapt to illumination changes and scene changes. after threshold operation, morphologic operation and connected region area measurement are introduced to solve background disturb problem. at last, shadows are detected using hsv color space information and gets exact moving regions

    該方法首先利用統計的方法得到背景模型，並實時地對背景模型進行更新，以適應外界光線變化和場景本身的變化，閾值操作后，用形態學和連通域檢測的方法進行后處理，消除噪聲和背景擾動帶來的影響，最後，在hsv顏色空間下檢測出陰影，得到準確的運動對象區域。
  2. Conclusion : on the base of three - dimensional model of neck, to match display these structures will guide to the operative procedure of anterior cervical approach and provide morphologic data for preoperative practise and simulation

    結論：在頸部三維可視化模型基礎上，參照頸前入路手術步驟可逐層顯示該手術相關的重要結構，為該手術的術前訓練和模擬提供形態學依據。
  3. A new binary fuzzy rough sets model based on triangle modulus is discussed, and its application in image edge - detecting and noise eliminating shows better affect than classical edge - detecting operators, such as sobel, prewitt, rorbets and so on. in addition, compared with the classical mathematical morphology, a new mathematical morphologic algorithm based on rough sets not only ensures continuity of the edge, but also renders the edge thin

    結合模糊集，本文還研究了模糊粗糙集模型在圖像處理中的應用，提出一種基於t模的二元模糊粗糙集模型，並將該模型應用到圖像邊緣檢測和去噪方面，取得了比sobel等經典運算元較好的效果，在一定程度上改進了經典邊緣檢測演算法對低對比度邊緣檢測不明顯的問題。
  4. Firstly, with the application of both morphologic translation and human body feather analysis on binary graph, the human body contours are extracted by exploited moving information, producing perfect human face region segments ; secondly, in order to form an accurate border, the author presents an improved statistical color model, which has removed redundancy successfully ; finally, a high compression rate is achieved by way of combining wavelet transform and different chain codes

    首先利用運動信息分割出人體輪廓，並綜合運用人體的特徵與形態數學的方法成功地分離出人臉大致區域；然後採用基於改進統計彩色信息模型方法，精確分割出人臉區域，去掉了不相關的冗餘信息；最後提出了利用圖像小波變換結合差分鏈碼技術描述了人臉對象，並實現了高效的視頻壓縮。
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