灰網紋 的英文怎麼說

中文拼音 [huīwǎngwén]
灰網紋 英文
grigio carnico
  • : Ⅰ名詞1 (物質燃燒后剩下的粉末狀的東西) ash 2 (塵土; 某些粉末狀的東西) dust 3 (特指石灰) lime...
  • : Ⅰ名詞1 (捕魚捉鳥的器具) net 2 (像網的東西) thing which looks like a net 3 (像網一樣的組織或...
  • : 名詞(花紋; 紋縷兒) lines; veins; grain
  1. Among them the gray level co - occurrence matrix ( glcm ) and gray gradient co - occurrence matrix ( ggcm ) methods, which attributed to the statistic textural analysis scheme were then chosen to extract the textural features of five kind areas on satellite images. in the second part the principle of classification and bp neural network were introduced. combined with textural features, the improved bp neural network successfully performed on the classification of the satellite images

    論文的第一部分介紹了進行理特徵研究的一些典型的方法,利用其中的基於統計的理分析法中的度共生矩陣以及度一梯度共生矩陣法,分析了衛星雲圖上五類區域的理特性;第二部分主要介紹了遙感圖像分類原理以及神經路中的bp演算法,在對演算法原理進行深入理解的基礎上,把理特徵與神經路進行組合,實現對衛星雲圖進行分類分析;第三部分內容是在前面圖像分類結果的基礎上,對序列圖像用相關匹配法進行運動分析,反演雲跡風風場。
  2. The paper abstracts out the palmprint mainline characteristic owing to palmprint image gradation by the gray value characteristic property method, defining the online palmprint characteristic space with the form of the polar coordinate and compressing the dimension, at last we use the neural network to accomplish the design of identification authentication system with the on - line palmprint as the mating algorithm. based on this, a fast and reliable system of identification authentication can be built

    採用基於掌圖像度特性的方法提取出掌的主線特徵,以極坐標的形式定義在線掌的特徵空間並降維處理,最後用神經路作為匹配演算法完成在線掌身份驗證系統的設計,以此為基礎建立了快速、可靠的新型身份認證系統。
  3. To avoid the cobweb - effect type swirls and scratches, thoroughly wash all dirt particles from your finish before applying polish or wax

    為了避免蜘蛛和擦傷,在拋光和打蠟之前,請將車身上臟的塵粒洗掉。
  4. Compared with the traditional shape localization algorithms, e - tdsm has the following advantages : 1 the un - warped edge - based texture can better predict the shape and is more robust to the illumination and expression variation than the conventional warped gray - level based texture ; 2 the presented bayesian network indicates the logic structure of the face alignment task ; and 3 the mutually enhanced shape and texture observations are integrated to infer the optimal parameters of the proposed bayesian network using em approach

    在人臉定位問題中,傳統的理的定義是將原圖中形狀包含的度值塊通過分塊仿射變換映射到平均形狀中,從而得到定長的理表示。但是,對于側臉圖像,由於自遮擋的原因,由平均形狀決定的格並不能反映所有形狀的二維拓撲結構,這樣得到的理表示很多地方會出現被遮擋部分的理無法得到的問題。
  5. In the process of comparison, it is found that the new vector used by this paper is suited to be taken as statistic feature of sar area objects. artificial neural network ( ann ) is always used in image classing. this thesis used bp network, rbf network and sofm network to analyze sar area objects, with gray level, average and wavelet analysis based features as the inputs

    人工神經路是模式識別的重要工具,本文分別採用bp神經路、徑向基函數( rbf )神經路、自組織特徵映射神經路對sar圖像面目標進行了分析,選用度值、均值、小波理特徵等不同的特徵作為輸入矢量,得到了高的分類精度。
  6. 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,利用度、理多特徵矢量改進了傳統的區域增長演算法,並對理分析,神經路分割和snake活動輪廓分割進行了有益的探索。
  7. Firstly take the local neighbor area of a minutia in the gray image. then analyze the fuzzy geometry features and texture features in the local area and use these features as the input of a mlp neural network to realize the classification of true and spurious minutiae

    取細節點在原始度圖象上的局部鄰域,分析鄰域中的模糊幾何特徵和理特徵,以這些特徵作為mlp神經路的輸入,實現細節點的真假驗證。
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