標識分割 的英文怎麼說

中文拼音 [biāozhìfēngē]
標識分割 英文
identity partitioning
  • 標 : Ⅰ名詞1 [書面語] （樹梢） treetop; the tip of a tree2 （枝節或表面） symptom; outside appearance; ...
  • 識 : 識Ⅰ動詞[書面語] （記） remember; commit to memory Ⅱ名詞1. [書面語] （記號） mark; sign 2. （姓氏） a surname
  • 分 : 分Ⅰ名詞1. （成分） component 2. （職責和權利的限度） what is within one's duty or rights Ⅱ同 「份」Ⅲ動詞[書面語] （料想） judge
  • 割 : 動詞（截斷） cut; mow
  • 標識 : [物理學] characteristic; identification; identifying標識碼 identification code; 標識位置 home position
  1. Secondly, the steps of the glass ' s image processing are discussed in detail. based on the experiments and the characteristics of interference fringe, we pre - process the images with median filter and image segmentation with dynamic threshold. after marking and thinning the resulted fringes, we analyze linearly the unifor mity of product ' s samples with the characteristics of the framework

    然後，結合檢測系統中玻璃干涉圖像處理的任務，詳細介紹了處理的各個步驟：通過實驗比較，並結合干涉條紋圖像的特點，選擇中值濾波、動態閾值分割等技術對圖像進行預處理；然後對獲得的二值條紋進行標記、細化，提取條紋骨架；最後，用骨架的特徵進行線性分析，識別條紋的類型，判斷玻璃樣品的均勻性。
  2. In this system, the movement of the step - electromotor is controlled by computer, and then the dial pointer is drove by the step - electromotor. at the same time, these images of the analog instrument are took by high precision ccd video, and then these images will be processed by the computer, using some image - processing algorithms such as image segmentations, threshold identification, image binarization, areas labeling, dial center - point identification, useful areas identification & abstracting, and areas thinning, etc. followed this, the dial pointer of the “ circle ” is able to be located. at last, the dial pointer position will be recognized by the computer

    本系統由計算機控制步進電動機的運動，進而驅動指針式儀表表針的運動，並且通過高精度ccd攝像機實時獲取表盤圖像數據，同時進行表盤圖像的相關處理，包括圖像分割，閾值確定，圖像二值化，區域標記演算法，圓心擬合，有效區域識別提取，區域細化等，最終快速識別出表盤指針所處位置;最後，根據國家指針式儀表類檢定規程所制定的演算法計算出該儀表的相關誤差，檢定指針式儀表的各種精度，通過這些數據判斷該儀表是否合格，列印該儀表的檢定結果報表。
  3. All the connected units in the page are detected by search algorithm of connected region. the row - column mergence of the character is defined by fuzzy connectedness of the connected units at four orientations. the combination of punctuation we adopt the method of combination behind recognition due to great effect of mergence

    版面圖文分割主要採用自底向上的辦法，利用連通域搜索演算法檢測出文本頁面上的所有連通基元，通過對連通基元的四個方向上的連接度進行模糊化處理來決定文字行、列的合併，並對在文字行合併時影響較大的標點符號採用先識別后合併的方法。
  4. By using threshold segmentation, edge recognition, pixel labeling and center of gravity method, the accurate sites of every model can be acquired from the image

    綜合運用閾值分割、邊緣識別和像素標記法等圖像識別技術，通過圖像得到每個模型的相關定位信息。
  5. Second, our country has n ' t made standardize system of the information resources yet. drawing up standardize isn ’ t known correctly, and is carried on in the all levels government, different section, some officials lack to standardize consciousness

    （二）信息標準建設是在各級政府、不同部門中零散進行，條塊分割嚴重，缺乏統一規劃，缺乏標準化的意識，沒有形成一個完整的標準化體系。
  6. Febrl ( freely extensible biomedical record linkage ) does data standardisation ( segmentation and cleaning ) and probabilistic record linkage ( " fuzzy " matching ) of one or more files or data sources which do not share a unique record key or identifier

    進行數據標準化（分割和清除）概率性的記錄一個或多個文件或數據源聯接，這些聯接沒有共享一個唯一的記錄鍵或標識符。
  7. Febrl - febrl ( freely extensible biomedical record linkage ) does data standardisation ( segmentation and cleaning ) and probabilistic record linkage ( " fuzzy " matching ) of one or more files or data sources which do not share a unique record key or identifier

    進行數據標準化（分割和清除）概率性的記錄一個或多個文件或數據源聯接，這些聯接沒有共享一個唯一的記錄鍵或標識符。
  8. We propose a multistage sar target recognition process based on target detection, target segmentation, target aspect estimation and invariant feature extraction

    提出一種以目標檢測、目標分割、目標方位角估計和目標不變性特徵提取為線索的sar目標識別框架。
  9. This sequence of operations - image capture, early processing, region extraction, region labeling, high - level identification, qualitative / quantitative conclusion is characteristic of image understanding and computer vision problems

    圖像獲取、早期處理、區域分割、區域標注、高層識別、定性/定量的結論這樣的操作序列，在圖像理解和機器視覺問題中是典型的特徵。
  10. In shape analysis, we get feature units of shape, that is, arc segments and straight - line segments through segmentation and identification of digital curves and the following combination of the same features, and present a new method of object expression and recognition based on straight - line segments

    在形狀分析中，通過曲線分割、分段識別以及相同特徵的合併來提取形狀特徵基元，即弧線段和直線段，提出一種基於直線段的目標描述和識別方法。
  11. The unique heat radiation of infrared image is generated from subcomponents. this paper analyses the natural feature of infrared image and the relationship between the shape and orientation with eigen vectors, gives the measure to classify infrared image based on object position to improve ability of compatibility in object recognition, moreover, applies the independent component for sub - region segmentation to construct new infrared image eigen vectors. the image features are processed by a support vector machine, and transform the binary svm to multi - object classifier

    文中在傳統紅外熱圖像特徵量的基礎之上，通過分析紅外熱圖像自身特性以及它的形成與其自身姿態的關系，提出了對目標物體紅外熱圖像基於目標姿態的子分類，來提高目標識別中對姿態的容忍度；同時根據紅外目標子部件對圖像影響的統計獨立性，使用獨立元的方法對目標紅外熱圖像進行了子區域分割，形成了新的紅外圖像特徵量。
  12. Furthermore, the multi - frame accumulation infrared subimage target detection model, image space transformation, segmented region recognition and infrared subimage tracking model are proposed in the dissertation

    論文提出了多幀累積亞圖像目標檢測模型、圖像空間變換、分割區域的識別和亞圖像跟蹤模型。
  13. The multiscale modeling we describe in this dissertation has been employed in a wide variety of applications, including : geophysical remote sense imaging, ocean height estimation, surface reconstruction, image denoising, texture discrimination, image segmentation, object recognition and multisensor fusion for groundwater hydrology

    目前，多尺度模型技術已在地形遙感成像、海洋高度估計、地表重構、圖像去噪、紋理辨識、圖像分割、目標識別和地下水文學的多傳感器數據融合等實際問題中得到了廣泛的應用。
  14. After the processing of chromosome image, using then method of tab, we can finish automatic division of chromosome image and get the single chromosomes. in the automatic processing of chromosome division, we can erase impurity and save chromosomes that we will need to label in the end. area, girth, centromer index are important features in identifying the chromosomes

    對染色體圖像進行處理以後，利用標號法實現了染色體圖像的自動分割，得到單條染色體圖像，在染色體的自動分割提取的過程中，可以對雜質實行去除，而保留我們需要用來進行識別的染色體，面積，周長，著絲粒指數是識別染色體的重要特徵。
  15. Divide the image into several regular blocks, do n ' t separate the blocks without consistent attribute and unite the blocks with the same attribute, until forming a district map. the ability that man can distinguish different goals from the complicated scenery quickly, at least partly benefit from many kinds of information in the image, such as the grey level, border, texture, etc. it illumine people to create methods on how to use mis information to segmentation. edge information is the most important high frequency information of an image

    本文以湖北省科技廳重點科技發展計劃項目資助課題? ? 「智能運輸系統的視頻信號採集及識別演算法研究」為背景，以課題中數字圖像處理部分主要環節之一? ?車牌圖像的分割問題為主要研究目標，在參閱大量文獻資料的基礎上，對數字圖像分割方法進行了學習和研究，並結合特定的數學理論，如數學形態學、小波分析等，對車牌圖像分割方法進行了著重地探討與實現。
  16. Especially, we ' re developing agricultural industry, advancing establishment of famous agricultural products, the most important to agriculture is to protect geographical indications of such products. as regard to the problems existing in china at present, although the protection of geographical indications has been regulated in the law, people do n ' t understand the significance of it yet, the way of protecting geographical indications is n ' t practical and the contradiction between two administrative authorities make producers and their associations awkward and puzzled. as regard to the advice on how to strengthen the protection of geographic

    關於我國地理標志保護現狀及存在的問題:我國目前的現狀是雖然相關的法律有基本規定，但太過于原則，如地理標志保護意識未完全確立，地理標志被濫用，保護方式不切實際，尤其行政管理體制上的沖突是地理標志保護工作面臨的最大困擾，由於兩個管理部門管轄權限的條塊分割，造成了沖突和矛盾，使廣大企業及作為注冊人也是管理人的行業協會或其一
  17. The image features of object and ambiance in the real robot visual servo system are analyzed. the method of object recognition based on image segmentation and corner detection is presented. an image is segmented into several regions by image segmentation

    分析了實際的機器人視覺系統中目標物體以及環境的圖像特徵，提出基於圖像分割與角點檢測的物體識別方法，通過圖像分割將整幅圖像分割為一個個的單一物體區域，分別利用角點檢測，找出與模板角點信息相匹配的區域，然後利用基於模糊自適應操作運算元遺傳演算法的圖像匹配方法尋求最優匹配。
  18. According to these features, this thesis not only presents how to tone up, segment, match after a target being locked and extract image by using sobel brim extraction method but also raise a new threshold selection method - - fuzzy threshold method when extracting brim. in a tv target tracing system, image matching recognition also play an important part

    針對這些問題，本文在具體闡述了目標捕獲后，如何對圖像進行增強、分割、匹配識別等圖像處理方法的同時，使用了sobel邊緣提取方法進行提取，給出了一種新的在邊緣提取時閾值選擇的方法? ?模糊閾值法。
  19. Secondly, image enhancement technique based on linear filtering is adopted. a new image segmentation method by means of automatic multilevel threshold is given, which realizes partial multilevel threshold segmentation based on image region partition of gray - level position projection, removes the influence of uneven illuminance or uneven gray - level distribution on goal recognition, and resolves the problem of error segmentation caused by threshold step between adjacent regions by threshold transition. the method has well robustness

    在圖像處理時，採用基於線性濾波的圖像增強方法，並提出了一種新的自動多閾值圖像分割方法，該方法以基於灰度位置投影的圖像分區實現局部多閾值分割，克服了不均勻照明或不均勻灰度分佈對目標識別的影響，同時，通過閾值過渡很好地解決了相鄰區域閾值「階躍」引起的錯誤分割問題，具有很好的魯棒性。
  20. Xu rui - xin ( mechanic and electronic engineering ) directed by liu wei - ning real - time tracking moving objects in complex background is a study field of automatic target recognition ( atr ), it include segment target, pick - up character and recognize target

    復雜背景下實時目標的跟蹤與識別屬于自動目標識別（ atr ）研究領域，包括對目標的分割、特徵提取和目標識別等幾個方面。
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