imagery recognition 中文意思是什麼

imagery recognition 解釋
圖象識別
  • imagery : n. 1. 〈集合詞〉像，肖像，畫像，雕像。2. 意像。3. 【修辭學】比喻；形像化的描述。
  • recognition : n. 1. 認識；識出；識別；面熟，認得；招呼。2. 承認，認可。3. 褒獎，表揚；感謝，酬勞。
  1. Target recognition is valued in military affairs. although the researches in automated target detection from aerial and remote sensing imagery have made great progress in recent years, there is still no commonly accepted method

    目標識別在當今軍事國防以及民用領域的作用日益顯著，從航拍及遙感圖象中實現目標的自動識別在近些年來取得了長足的發展，但是仍然沒有一種可以普遍適用的方法。
  2. The main work is as follow : the pater makes use of vanguard genetic algorithms in image segmentation, uses vanguard genetic algorithms to get the image threshold. using this method we may get different grey vehicles from the background exactly. used the support vector machine theory to conduct the vehicles automatic sorting simulation research, the simulation result had proven this method could quite be accurate carries on the vehicles type the recognition ; improved based on the background automatic renewal hypothesized examination region algorithm, enhanced timeliness and the accuracy which the vehicles examines ; and to has carried on the specify based on the hypothesized examination region imagery processing algorithm realization ; in the paper also introduced withdraws the algorithm based on the gradation continuous movement vehicles characteristic to carry on the vehicles the characteristic to withdraw as well as to use the localization method which colored filter same gradation chart processing unifies to carry on the realization method which the vehicles license plate locates

    本文根據智能交通控制與模擬對于交通流量、車輛到達率、車輛速度等交通信息檢測的需求，基於視頻圖像進行了交通信息處理的演算法研究與實現，主要工作包括以下幾個方面:將先鋒遺傳演算法應用到圖像閾值分割中，利用先鋒遺傳演算法尋求全局最優閾值，可以比較準確的將圖像中不同灰度的車輛從背景中分離出來;採用支持向量機理論進行了車輛自動分類的模擬研究，模擬結果證明該方法能夠比較準確的將車輛的類型進行識別;改進了基於背景自動更新的虛擬檢測區域演算法，提高了車輛檢測的實時性和準確性;並對基於虛擬檢測區域的圖像處理演算法實現進行了詳細說明;論文中還介紹了基於灰度連續性的運動車輛特徵提取演算法進行車輛的特徵提取以及採用彩色過濾器同灰度圖處理相結合的定位方法進行車輛牌照定位的實現方法。
  3. It has raised more attentions in engineer fields, specially in signal analysis, images handles, pattern recognition, phonetic recognition, quantum physics, earthquake reconnaissance, fluid mechanics, electromagnetic field, ct imagery, diagnosis and monitoring of machinery defect, fractal, numerical evaluation et al. it is considered as important breakthrough in methods and tools

    它在科學技術界引起了越來越多的關注和重視，在工程應用領域，特別是在信號處理、圖像處理、模式識別、語音識別、量子物理、地震勘測、流體力學、電磁場、 ct成像、機械故障診斷與監控、分形、數值計算等領域，它被認為是近年來在工具及方法上的重大突破。
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