segmentation criteria 中文意思是什麼

segmentation criteria 解釋
細分標準
  • segmentation : n. 1. 分割；切斷。2. 【生物學】（細胞）分裂；（動物）分節；斷裂。
  • criteria : n. criterion 的復數。
  1. This paper illustrates detailedly the thin groupware auto - adaptive recognition system ; it also illlustrates the procession of capture image and take indispensable foreclose to wipe off noise in order to get boundary easilyer. the recognition system uses " hough " transform method to make the recognition area orientation, and according to the unstable environment such as lights which leads to the change of the image ' s brightness, thresholds picture using an iterative selection method and then growing process for cell image segmentation based on local color similarity and global shape criteria, adaptively gets the best threshold to divide the washer off the background. the recognition system uses the classifier based on minimal - error - ratio bayes method to make decision after getting image characteristic

    本文詳細介紹了薄形組合件自適應識別系統；闡明了圖像的分通道自動採集過程，以及對採集到的原始圖像所進行的預處理方法。通過採用哈夫變換去除偽邊緣點的方法，有效地解決了識別區域的定位問題。針對裝配零件（主要是墊片）薄、小導致圖像信息少、識別難度大，以及材質不一導致採集到的組合件圖像亮度波動等問題，提出了使用最佳閾值迭代法和使用種子填充的圖像串列分割技術，自適應地找出最佳閡值，使墊片和背景分離，從而提取墊片數目信息。
  2. The main innovations in this thesis are : ( 1 ) given the notions of mmdm, and argumentations of the approximation ability of the mmdm, ( 2 ) samples competition algorithm and its application to the estimation of the mmdm ' s parameters, ( 3 ) unsupervised segmentation of sar image by the mmdm, ( 4 ) segmentation criteria, ( 5 ) unsupervised sar image segmentation by combining the mmdm and the mar models, ( 6 ) the mar ' s order problems

    本論文的創新之處在於： （ 1 ）提出mmdm的概念，並論證了混合分佈模型的函數逼近能力； （ 2 ）給出了樣本競爭演算法並用於mmdm的參數估計上； （ 3 ）分別將mmgm和mmrm分別應用於sar圖像無監督分割上，並對不同分佈模型進行sar圖像分割的結果進行評判，給出了評判標準； （ 4 ）將mar模型與mmdm模型結合起來應用於sar圖像的無監督分割上； （ 5 ）初步解決了sar圖像的mar模型的定階問題。
  3. Following are detailed steps of this system : in the segmentation section, we use three successive frames to detect the motion infomation of the pictures, by using blockmatching algorithm in two successive frames twice, we can get two pictures composed of motion blocks of the moving object, then we find out the common motion blocks of the two pictures, experiments prove these blocks approximately compose the moving object. after getting the motion blocks, we calculate the center of these blocks as the center of the moving object, thus we can use the center point as the origin, construct n straight linesjoining the boundry of the image and the center. on each line, we can find out a proper point near the object contour according to some criteria, then we use these n points as the initial points of the snake and let the snake converge on the object contour, thus finish the segmentation of the moving object

    本方案的實現過程為：分割部分：對運動目標的前後三幀進行兩次塊匹配運動檢測，通過找出兩個匹配結果中運動圖像塊的公共部分，獲得組成運動目標的圖像塊；求出運動目標圖像塊的形心作為運動目標的中心，以此中心為端點，向四周發散出角度間隔為的n條射線，射線的另一端終止於圖像的邊緣；在每條射線上按照一定的準則（點的梯度和與目標中心的距離在一定閾值范圍內）找出n個初始輪廓點；以這些初始輪廓點作為主動輪廓模型（ snake ）的初始點，用改進的貪婪演算法使snake收斂到待分割的運動目標輪廓上。
  4. After the discussion of several kinds of optimum threshold segmentation methods, a multi - feature vector space and three new criteria ( global comparison detection, geography priority privilege, equal opportunity for competence ) are developed for region growing control, a new region growing method is brought forward. at last the region splitting and merging, region clustering, neural networks, snake active contour model et al have been discussed

    提出了全局比較探測、面積測定及空間優先、競爭機會均等三個有效的準則，利用灰度、紋理多特徵矢量改進了傳統的區域增長演算法，並對紋理分析，神經網路分割和snake活動輪廓分割進行了有益的探索。
  5. In last part of this paper, we introduce the general - purpose word segmentation system in modern chinese ( gpws ) and analyse the set of criteria for the evaluating a general - purpose segmentation system in terms of its comprehensiveness, extensibility and adaptiveness, and interactiveness besides precision

    其次，本文概要的分析了通用型分詞系統的難點，闡述了gpws的解決方案，給出了通用分詞系統的評價標準；並提出了互動式分詞系統的概念，給出了一種簡單的互動式方法。
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