foreground image 中文意思是什麼

foreground image 解釋
前景圖像
  • foreground : n. （opp. background）1. （圖畫等的）前景。2. 最顯著的地位。
  • image : n 1 像，肖像，畫像；偶像。2 影像，圖像。3 相像的人（或物）；翻版。4 形像，典型。5 形像化的描繪。6...
  1. After scanning the object image and labeling the connected component, the background and foreground noise could be removed easily by threshold value area expunction

    該方法僅需對圖像作一次全掃描即可標記物體所有連通部分，統計標識號，根據閾值面積消除法即可快速去除圖像中所有前景和背景噪聲。
  2. Parametric active contour model to deal with automatic segmentation of weak edge medical image. based upon analyzing balloon force model, a minimum variation snake model is proposed and successfully applied to segmentation of weak edge medical image. in the model, variable force incorporating the information of foreground and background regions replaces constant force in the balloon snake model

    高斯力和氣球力等傳統的參數活動輪廓模型難以處理弱邊界醫學圖像自動分割問題，在氣球力snake模型基礎上，提出最小方差snake模型，該模型將氣球力snake模型中的恆定氣球力修改為包含區域信息的變力，以目標和背景兩區域具有最小方差為準則，引導輪廓曲線運動。
  3. Class with the image index position of the item s icon ; the foreground color, background color, and font of the item ; and an array of strings representing subitems

    用項圖標的圖像索引位置、前景色、背景色、項的字體和表示子項的字元串數組初始化
  4. At last, svm algorithm has been applied to remote sensing image classification. compared with k near neighbor and adaptive min - distance algorithm, the experience result presents that svm algorithm has better classification effect. and the experience result also shows us that svm algorithm has good application foreground in the aspect of remote sensing image classification

    最後將svm演算法應用到遙感圖像的分類，通過與自適應最小距離法和k近鄰法的實驗結果進行比較，得出svm演算法具有更好的分類效果，也說明了svm演算法在遙感圖像分類方面具有很好的應用前景。
  5. In the process of building and using the mass concrete structures, because of the effect of out - side condition and themselves, some faults will form in the structure, these faults will effect the bearing capability and endurance using nondestructive testing method to test the concrete ' s quality and diagnose its healthy, which has the significant sense in assessing the safety stability and research of the administering diseases this dissertation mostly researched the testing methods in the mass concrete structure, discussed the principles, methods, features, sphere of application of the ultrasonic testing in the mass concrete structure with faults, used dynamic fem to simulate the testing process, discussed when the concrete structure with cracks is under the effect of the pulse, how the elastic waves propagate and what are their changing feature, researched the principles of the first - arriving waves " phase when the cracks " depths are not same, obtained the relation between the inversion point and the cracks " depth, which has the direction sense in the application of projects, the second part of this dissertation is ct, which used the ultrasonic wave running through the tested - substance to get arriving - time of the ultrasonic wave, then inverse the image this dissertation drawed one ct program which can well present the different little cells " ultrasonic wave velocity profiles of the substance, thereby to diagnose the quality of the part of the tested - substance, ct has the better using foreground.

    在混凝土結構的施工及使用過程中，由於受其自身及外界各種因素的影響，常常會產生一些缺陷，對結構物的承載能力和耐久性造成嚴重影響，採用無損檢測技術進行質量檢測和健康診斷，這對混凝土結構開展安全、穩定性評估以及病害隱患治理研究具有重要意義。本論文主要針對大體積混凝土結構缺陷的檢測方法展開研究工作，重點討論了超聲波法檢測混凝土結構裂縫的基本原理和方法及其特點、適用范圍，運用動力有限元數值模擬其檢測過程，探討了有裂縫缺陷的混凝土結構在脈沖荷載作用下彈性波的傳播及其變化特徵，研究了不同裂縫深度下首波相位變化規律，得出了反轉臨界點與裂縫深度之間的關系，這對實際工程應用具有指導意義。聲波ct是一種新的無損檢測技術，它是利用聲波穿透被檢測體獲取聲波接收時間，來進行計算機反演成像的技術。
  6. At last, the algorithms are combined into an automatic video object segmentation schema, which can separate motion foreground from stationary background and extract video object plane from video image sequence in succeed

    最後，將上述演算法結合起來形成一個視頻對象分割方案，有效地解決運動前景和背景分離的問題，並成功地完成從視頻圖像序列中抽取視頻對象板的任務。
  7. After introducing the main approaches briefly, this paper summarizes and contrast them. it lay emphasis on the research of galerkin fem equations for multiaquifers and its solution, and on the research of basic ideas and implementation of visual mesh auto - generation 。 with an in - depth study on automatic mesh generation dividingtechnology of finite element, computer image processing techniques and visual scientific calculation technology, and under thebased on windows 2000 platform, we work out the foreground programs using visual basic 6. 0 from microsoft, which possesses friendly programming environment and abounding graph function, while the background programs are accomplished using the powerful function of data base and chain table of delphi 6. 0 from borland

    重點研究了潛水? ?承壓水多層結構含水層系統的伽遼金fem方程，並探討了其數值解法，提出了基於可視化理念的fem剖分軟體系統設計的基本思想及其實現的方法。在深入研究有限元自動剖分技術、計算機圖形處理技術和科學計算可視化技術的基礎上，在windows2000平臺下，採用microsoft公司的visualbasic6 . 0與borland公司的delphi6 . 0混合編程，利用vb友好的編程環境和豐富的圖形函數來編制前臺程序，而後臺程序則利用delphi強大的數據庫功能和鏈表功能來完成。
  8. In image segmentation, the paper improves some common algorithm of gradual segmentation according to its shortcomings. in the first segmentation step, the paper separates one fingerprint image to four parts at first, then confirms foreground board regarded as seeds by gray - level statistical features and apply region growing method, at last combines the four parts to one image that is the first segmentation image. in the second segmentation step, the paper signs the irrecoverable region from the first segmentation image by gray - level and directional statistical features

    在指紋圖像分割方面，本文針對一些普通的指紋圖像分級分割演算法的缺點，對它們進行了一些改進:在第一級分割中首先把指紋圖像等分為四個部分，然後利用灰度統計特性分別確定各個部分的前景區小塊，並作為種子塊，再利用灰度及方向等統計特性定義種子區域生長規則並進行前景區域生長，最後將四個部分合成一幅圖像即得到了一幅被分割掉背景的指紋圖像;在第二級分割中利用灰度及方向等統計特性分割掉第一級分割圖像中的不可恢復的模糊區。
  9. When processing the shadow of foreground moving objects, in order to overcome the influence of illumination change of part or integrity in the image, the color model of brightness distortion and chrominance distortion is established to distinguish shaded background, highlight background, original background and foreground objects, and then select the threshold automatically to classify the pixel points in the image

    在處理前景目標的陰影問題時，為了克服了圖像局部或整體的光照變化的影響，通過建立亮度變化和色度變化的彩色模型，來區分陰影背景、高亮背景、普通背景及前景目標，然後自動選擇閾值對圖像的像素點進行分類。
  10. Invariant content - based image retrieval has widely application foreground. using the rotation, scaling and translation invariant features can get better retrieval results than normal color, texture and shape features

    對旋轉、平移、尺度縮放保持不變的圖像特徵，比起普通的顏色、紋理、形狀特徵，可以得到更加優良的檢索結果，因此基於不變特徵的圖像檢索有著廣泛的研究前景。
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