紋理樣本 的英文怎麼說

中文拼音 [wénlǐyàngběn]
紋理樣本 英文
texture sample
  • 紋 : 名詞（花紋; 紋縷兒） lines; veins; grain
  • 理 : Ⅰ名詞1 （物質組織的條紋） texture; grain （in wood skin etc ） 2 （道理;事理） reason; logic; tru...
  • 樣 : Ⅰ名詞1. （形狀） appearance; shape 2. （樣品） sample; model; pattern Ⅱ量詞（表示事物的種類） kind; type
  • 本 : i 名詞1 （草木的莖或根）stem or root of plants 2 （事物的根源）foundation; origin; basis 3 （本錢...
  • 紋理 : vein; lines; stripes; grain; graining; varvity; texture紋理方向 grain direction
  • 樣本 : sample book; specimen; advanced copy; sample; muster; scantling; instance; statistics
  1. A, 1998, 15 : 389 - 403. 29 shen d, horace h s. discriminative wavelet shape descriptors forrecognition of 2d patterns

    Curet數據庫包含有61類真實世界的平面的紋理，每一類有203個不同幾何變化和光照變化的樣本。
  2. Previous researchers have always determined the sp atial distribution patterns ( sdp ) of castanopsis kawakamii with a sample - dis tance method. however, the distribution patterns may be affected by the quadrat si ze and, in the course of analysis, the density differences among the cluster plots are not considered ; therefore, differences of cluster plot size and the dispersi on degree among individuals of cluster plots can not be known. authers of this pa per have determined the spatial distribution patterns of castanopsis kawakamii population in different habitats by means of non - quadrat distance method and a nalysed the pattern intensity and grain of the sdp. the pattern intensity is defi ned with the relative density differences and the pattern grain can embody the d ispersion degree of the individuals in the plots, and the dispersion degree among the plots. the determined results are as follows. the intensities of the species range in order from strong to week : litsea mollifolia p. kawakamii i. purpure a r. cochinchinensis c. kawakamii c. carlessii d. oldphamii s. superba. the gra ins of the species queue in order from coarse to close : s. superba = litsea mollif olia r. cohinchinensis c. kawakamii = i. purpurea c. carlessii p. racemosam d. oldp hamii. these determined results tally basiclly with the results authers of this paper have got in determining the same plots by means of aggregate index access ing method. in view of this, it is held that the sdp of c. kawakamii is closely related to the habitats and biological features

    前人都是採用樣方方法對格氏栲種群數量的空間格局進行測定，而格局分佈有可能受樣方大小的影響，且分析過程中沒有涉及聚塊間密度差的問題，因而無法掌握種群的聚塊大小差別及聚塊內個體間的離散程度.本研究採用無樣方距離法，測定不同生境的格氏栲種群空間格局，分析格氏栲種群格局的強度和紋理.強度以聚塊和間隙的密度差來定義，紋理則是體現聚塊內個體間的離散程度與諸聚塊間的分離程度.測定結果表明，格氏栲種群格局強度從高到低排列次序為：木姜子蚊母樹冬青茜草樹格氏栲米櫧虎皮楠木荷；格局紋理從粗到細的順序是：木荷=木姜子茜草樹格氏栲=冬青米櫧蚊母樹虎皮楠.這一測定結果與作者採用聚集度指標測定相同樣地格氏栲種群空間格局的結果基本相符.因此，格氏栲空間格局類型及分佈與格氏栲生物學特性及生境的關系密切
  3. Each kind of palmprint pattern is described by parameters in wavelet domain that learned form samples by estimation

    通過樣本學習，利用參數佑計的方法，每種掌紋模式的理想模型表示為小波域內的特定參變量。
  4. In this paper, we bring forward new opinions and algorithms based on texture synthesis from sampling

    本文對基於樣圖的二維紋理圖像的合成進行了研究，提出了一些新的觀點和演算法。
  5. In order to deal with the unknown transformations of samples as a result of preprocessing and improve the system recognition performance further, a palmprint feature extraction method based on template learning in wavelet domain is designed and proposed. this algorithm learns the ideal templates of different classes from palmprint samples, whose parameters are regarded as

    該演算法從掌紋樣本中學習不同類別的理想模板，並將理想模板的參數作為特徵用於模式分類，由於考慮了子圖樣本內在存在的平移和旋轉變換，不同類型小波系數對特徵提取的貢獻，因此達到非常好的識別效果。
  6. We also introduce synthesis technique for idt to transport the real - world texture samples on virtual objects. finally, the texture - covered objects could be rendered under environment illumination in real time

    本文接著引入光照相關紋理在任意曲面上的合成技術，將紋理采樣移植到虛擬物體上，最後在環境光源下實時地繪制。
  7. To improve the adaptability of the method, a texture enhanced technique based on an improved log filter is presented. to improve the efficient of the method, box filtering, average sampling and pyramid analysis are used so that the matching time is cut down to 1 / 10.

    在此基礎上，為提高演算法的適應性，本文改進了log濾波紋理增強技術;為提高演算法的實時性，本文綜合利用盒濾波、均值采樣和金字塔分解三種手段將演算法效率提高了一個數量級。
  8. Expoles an algorithm about bearing surface defects detection by support vector machines that is the new branch of machine learning, in which the defective area and non - defective area are treated as two different textures and are sampled respectively to be learned, in order to reduce dimension, the image data can be processed by pca

    摘要提出一種基於支持向量機的軸承表面缺陷檢測演算法，該演算法把軸承中的非缺陷區域和缺陷區域分別看作兩種不同的紋理模式，利用主成分分析法（ pca ）對圖像進行降維處理，然後用支持向量機方法對兩類不同的樣本采樣學習，進行分類判斷。
  9. Lastly, aiming at the poor results which all current algorithms do for directional textures, and cannot synthesis texture directly, aiming at the particularity of this kind of textures, we bring forward the conceptions of non frontal parallel textures and frontal parallel textures. by analyzing texture ' s direction through fourier spectrum, we introduce the conception of main direction, and solve the approximation value of texture ' s main direction by discrete approximated approach. by this way, we can synthesis indirectly simple structural non frontal parallel textures

    最後針對現有演算法對帶有方向的紋理合成效果差，無法直接合成紋理圖像的難點，本論文首先提出了非正平行紋理與正平行紋理的概念，分析了它們之間的內在聯系，引入了兩個角度參數來描述紋理的朝向，採用傅立葉頻譜法分析紋理的方向特性，並提出了紋理主方向的概念，本論文引入離散逼近的方法來求解出紋理主方向的近似值，這樣我們就能用一種間接的方法合成簡單的結構性非正平行紋理。
  10. Experimental results show that after reducing the dependency of features, sa method works better. the most three important features of the license plate regions are obtained in the experiment and our algorithm is robust in filtering out false plate regions. in the module of binarization of license plate, based on algorithm of casda ( cluster algorithm based on spatial distribution analysis ) an improved quick binarization algorithm i - casda are proposed to get rid of the influence of the illumination

    運用本演算法對復雜背景的車輛牌照進行檢測，實驗結果表明，基於簡單平均融合運算元的檢測演算法得到的檢測率高， 80 . 36 （訓練樣本）和76 . 54 （測試樣本） ，平均檢測速度為每幅圖象0 . 81秒，滿足實時性要求；區域寬高比、區域密度和區域寬度比率是車牌區域最重要的三個特徵；本演算法魯棒性好，可較好地排除相似紋理區域（如廣告牌等）的干擾。
  11. We divide the fire sample image into several levels vertically and the synthesis process is carried out by searching candidates on the corresponding levels. textures on the central and boundary parts are synthesized separately, and natural transition between them is achieved by use of markov probability interpolation

    火焰邊緣附近的紋理單獨進行合成，把紋理樣本邊緣部分的紋理繪制到目標火焰邊緣，火焰中間部位紋理和邊緣紋理則採用馬爾科夫概率插值進行過渡。
  12. Based on the difference of sandy land types on the spatial constructions, geostatistical texture was used to monitor desertification, and the discrimination degree of sample selection could be increased by using variogram texture to increase the difference of different kinds of sandy land

    基於不同沙地類型在地表空間結構上的差異，提出將基於地質統計學的影像紋理應用到荒漠化監測中，通過變異函數紋理來加大各種不同類別沙地間的區別，提高樣本選擇的分離度。
  13. The main contents of the thesis are shown as follows : presenting fundamental theories of statistic pattern recognition, discussing rgb ( red, green, blue ) color space, ohta color space, hsi ( hue, saturation, intensity ) color space and its converted color space, materials consistency in gray scale and the application in removing foreign bodies in tobacco flows, hence presenting recognition pattern based on " unit recognition ", designing sample machine for this purpose, which consists of material - providing system, optic system, image - grabbing system, real - time intelligent image - processing system and systems of automatically rejecting foreign bodies and self - diagnosis, analyzing and optimizing hard wares, offering concrete designs such as optic system and air - ejector driver circuit, presenting and realizing physical ram

    本文的主要內容有：統計模式識別基礎理論及它們在煙草異物識別中的應用；討論了rgb （ red 、 green 、 blue ）基礎顏色空間、 ohta顏色空間、 hsi （ hue色調， saturation飽和度， intensity亮度）顏色空間及其變換空間、物料圖像紋理、灰度均勻性等在煙草異物識別中的應用，並在此基礎上提出了"基於判別單元顏色統計特性"的煙草在線異物識別模型，設計並研製了煙草在線異物實時識別與自動剔除系統原理樣機，它由供料系統、光學系統、圖像數據採集系統、實時智能圖像處理系統、異物自動剔除系統以及自診斷系統等組成。
  14. Two - dimensional texture mappings are summarized in this paper including catmull algorithm and blinn algorithm, two - step texture mapping, environment mapping and bump mapping. moreover, a new method of regional texture mapping based on intermediate surface is presented and a new algorithm is promoted to reduce texture distortion in the process of mapping onto the sphere surface

    在二維紋理方面，本文討論了適用於參數曲面的catmull演算法與blinn演算法，適用於一般曲面的兩步紋理映射技術，現已廣為應用的環境紋理映射技術及凸包紋理映射技術，還分析了紋理映射的幾種快速反走樣技術。
  15. Through a lot of merging experiments on the samples, this paper devise a fusion way based on the features of the palm and the palmprint, which is suitable to preserve the multi - scale palmprint features. the merging module finally provides the detailed images that merged form different lighting images for the later modules in palmprint diagnosis, makes it possible to obtain the information that deeply hidden in the complex lines of the palm

    圖像融合模塊則是系統工作的中心，通過大量的樣本採集融合實驗，本文得出一種依據掌紋特點、最適合保存包含多尺度細節紋理的掌紋圖像的融合方法，它為后續掌紋診病處理提供了融合后的、包含有大量信息的掌紋圖像，實現了多方向細節觀察的目的。
  16. Thirdly, we present a new algorithm on texture synthesis, which not only has rapid speed with the help of " synthesis consistency " but also gives pixels in the image vision - related weight to get good result. fourthly, we present an open framework about tsfs with " shadow texture ". finally, we describe a new texture synthesis method based on multiple samples, which integrates patch - based technique and the principle of minimum neighborhood error between pixels, and synthesizes in a repeat way

    該演算法不僅利用「紋理塊的連貫性」 ，加快了紋理合成的速度，而且通過給像素附上與視覺相關的權值，得到了比以往更好的合成結果；作為進一步的研究，本文還提出了利用「伴隨紋理」進行紋理合成的開放式框架；最後本文介紹了一種新的多樣圖紋理合成演算法，該演算法基於塊匹配技術與像素的鄰域誤差最小原則，同時採用多次合成的方式，對大多數紋理都取得了較好的合成效果。
  17. In this thesis, we propose several pre - computing and sampling strategies for walkthrough system rendering, natural surface rendering with real - world material and 3d texture, and rendering with global illumination effects respectively. we also introduce efficient rendering methods, which work with these pre - computing and sampling strategies, and perform real - time realistic image rendering successfully

    本文在漫遊系統繪制，物體表面復雜材質和3d紋理的繪制，全局光照模型繪制等領域提出了相應的預計算采樣策略，以及快速的繪制方法，成功地實現了實時的高真實感圖像繪制。
  18. In this article, vectors are composed of mean gray level of image and texture features in detail images of 2d - wavelet transform without down - sampling. distances between each two objects " vectors are much larger than that of seisuke fukuda ' s

    本文首次利用圖像灰度均值與無下采樣小波變換細節圖像紋理能量組成特徵矢量，使目標間紋理特徵的差異比seisukefukuda等方法所得更明顯。
  19. In this paper, we bring forward several new opinions and algorithms on tsfs. firstly, we introduce the development in the area of texture synthesis. secondly, we analyze existent algorithms on tsfs deeply, expatiate on the contents of texture character, present the standard and method in identifying texture character, and summarize the process of tsfs using texel

    本文首先介紹了紋理合成技術的發展，其次從合成質量的角度對現有基於樣圖的紋理合成演算法進行了深入的分析，闡述了紋理特徵應包括的內容，提出了識別紋理特徵的目標和直接識別的方法，並總結了用紋元合成紋理的過程；然後本文提出了一種新的紋理合成演算法。
  20. The point feature weighting algorithm constructs the deviation vector using means and variances of samples, and uses the deviation vector to restrain the feature units which do harm to the classification accuracy

    逐點特徵加權演算法用樣本的均值和方差構造偏離量，對紋理特徵進行自適應加權。
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