labeling algorithm 中文意思是什麼

labeling algorithm 解釋
標號演算法
  1. Besides, the paper presents a simple but useful method of isoline labeling, azimuth angle judgement algorithm

    在等值線標注部分,採用簡單實用的向量判斷法,確定標注的位置。
  2. A coding scheme is proposed to eliminate the redundancy of output vectors in pyramidal lattice vector quantization ( plvq ). a fast algorithm of labeling lattice points and a fast algorithm of finding lattice points are presented. and the transmission priority in case of asynchronous transfer mode is suggested

    提出了一種與圖象本身無關的熵編碼方法去消除金字塔格型矢量量化( plvq )的輸出冗餘:同時也提出了由格點輸出索引和由索引輸出格點的快速演算法;而且還根據異步傳輸模式( atm )的特點,選擇了傳輸的優先級。
  3. Firstly, the complex characteristics of the seal images caused in the process of producing conditions are analyzed. to solve these problems respectively, the circularity clusters and the ostu method are firstly used to realize the shape classification and threshold processing of different seal images. then the image denoise is performed well by scanning beam seed filling and labeling algorithm

    論文中首先分析了印鑒圖像由於蓋印條件造成的圖像本身的一些復雜特點,提出了運用圓形度聚類和最大方差比演算法對圖像進行形狀分類和閾值處理,隨后利用掃描線種子填充演算法和貼刪標簽演算法進行噪聲的去除等預處理。
  4. An efficient implementation of this framework is presented, for segmenting two motions ( foreground and background ) using two frames. the expectation - maximization algorithm is used to determine the two motions and calculate the label probability for each edge. the best motion labeling for these regions is determined using simulated annealing

    針對前景和背景兩種運動分割的情況,本文給出了一種基於貝葉斯分割框架的有效實現,它使用最大期望( em )演算法來估算邊緣的標定概率,並通過模擬退火演算法來完成這些分割區域的最佳運動標定。
  5. In this paper, an algorithm based on watershed transformation and fuzzy logical catchment basins combination is proposed to suppress or remove the feature of natural background, and applied to infrared object boundary detection and labeling

    文中在分水嶺演算法的基礎上,結合模糊邏輯方法,對自然背景下的紅外人工目標的邊界檢測和分割以及紅外背景的抑制進行了探討。
  6. The paper mainly discusses the tracking, building, filling and labeling of isolines etc. from the point of view of algorithm. finally it describe the application of isoline analyzing system that developed by myself in anfas project, which is presided over by eu ( european commission )

    本文主要從演算法的角度討論了等值線的追蹤與生成,以及等值線的填充,等值線的標注等內容。最後描述了本人開發的等值線分析系統在歐盟主持的anfas項目(水災分析和決策支持的數據融合)中的應用。
  7. The three primary color channels of color image are separately captured to the image acquisition board by using special hardware and software technology, therefore, three lines of seeds are parallel captured. contrastive test is done to compare advantage and disadvantage of threshold chosen method, which can either be chosen from trying or iteration, and predefined threshold chosen is selected, which result in lessen processing time. region labeling using sequential algorithm and seed object recognition are studied, and then the center of a region is calculated

    包括:為了有效地去除大量冗餘圖像信息,減少計算機存儲量,而採用的逐場採集和隔幀存方法;為實現三行播種通道種子信息的并行採集,圖像三分量獨立採集的軟硬體技術方法;對比實驗了自定義閾值選取與基於迭代方式的最優閾值的優缺點,選用了自定義閾值進行圖像分割,縮短了圖像處理時間:研究了基於序貫演算法的種子區域標記技術與種子目標識別技術,並進行了質心參數計算。
  8. * the sixth chapter presents a tool wear area image segmentation algorithm based on markov random field m odel. the refresh formula of relaxation labeling is deduced. with the algorithm, the segmentation result composed of wear area, background area and tool body area is obtained according to the map ( maximum a posterior ) criterion

    第六章以馬爾可夫隨機場理論為基礎,提出刀具磨損區域分割演算法,推導了鬆弛迭代更新公式,並用該方法對圖像分割問題進行求解,獲得了map準則下將刀具圖像的分割結果。
  9. An optimized linear - time component - labeling algorithm of image

    圖像中連通體的線性標定演算法的優化
  10. The principle of this approach is : during the second alphabetically pixel scanning of the labeling algorithm, the first pixel of each connected components is found, and a start - point table used for contour following is set up based on certain principles, thus the operation of search start points of the contour in the image is avoided, the execution of the standard contour following algorithm is accelerated

    演算法的基本原理是:利用標記過程尋找連通區域中第一個像素出現的位置,在此基礎上根據一定原則確定輪廓起點,省略了在圖像中逐像素搜索輪廓起點的過程,達到加速演算法執行的目的。
  11. Finally a novel algorithm flow is made to achieve 3d focusing with zoom microscope. for low enlargement images, global - coarse orientation is realized with auto - thresholding, corrosion - inflation operation and connected components labeling. and for large enlargement images, local - precise orientation is achieved by multiresolution wavelets segmentation on focus measure technique, which use the phenomena that images blur when out - of - focus

    對于低放大倍數下的全局圖像,主要利用形態學中的腐蝕膨脹操作、自動閾值分割、區域標記等技術完成了鍵合目標中心位置的粗定位;而對于高放大倍數下的局部圖像,根據其半離焦的特徵利用基於小波高頻能量的多尺度顯微圖像分割方法實現了精定位。
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