皮紋類型 的英文怎麼說
中文拼音 [píwénlèixíng]
皮紋類型
英文
dermatoglyphic patterns-
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Both upper and lower epidermis cells are polygonal or irregular in shape in all species studied. the patterns of anticlinal walls are straight, arched or sinuous, and the raphal cuticular striastriae are occasionally observed on periclinal walls. stomatal apparatus and secretory cells are found on the upper epidermis of several species and on the lower epidermis of all species
結果表明：這些植物葉片的上、下表皮細胞呈多邊形或不規則形，垂周壁式樣為平直、弓形或波浪狀，平周壁偶有脊狀條紋；少數種類上表皮還有氣孔器或分泌細胞，所有種類下表皮具氣孔器和分泌細胞；氣孔器類型以平列型和側列型居多，偶爾有無規則型；氣孔極區呈稍角質加厚或棒狀加厚，稀t形加厚。At the surface of the pollen grains there are three types of aperturates, including three porates type, three colpates type and three porate - colpates type ; and four types of sculpture, namely, reticulate, striate, striate - reticulate and verrucate. the upper epidermal cells of the leaves of 12 species plants are detected with hpias - 1000 image analytic system through the treatment of binarization, and the experimental methods are proved stable. the results indicated that the waviness of the anticlinal walls ( sfc ) and the ratio of the feret ' s diameter ( slf ) of the epidermal cells of the middle lamina in the third node of leaves starting from the lowerest part of the stem have a relative constant range and could distinguish from each other. oieanolic acid, l, 5, 8 - trihydroxy - 3 - methoxyxanthone and swertiamarin are separately detected on the tlc, and the different chromatogram of various plants can be considered as characters of identification. the contents of oleanolic acid in 12 species of plants are determinated by hplc, but among the different plants and botanical organs their contents are different, and the highest content in flowers
本文對川鄂產獐牙菜屬藥用植物資源進行了野外調查、標本採集和鑒定，對12種乾燥藥材的性狀進行了描述，提供了可以鑒別的特徵。通過掃描電子顯微鏡觀察的12種本屬藥用植物的花粉粒均為單粒花粉，萌發孔有3孔型， 3溝型和3孔溝型三種類型；表面紋飾包括網狀紋，條狀?網狀紋，條狀紋和瘤狀紋四種類型。用hpias ? 1000高清晰度彩色病理圖文分析系統對葉片上表皮細胞作圖像分析，並進行方法學研究，結果表明，同種植物莖上第3節葉片中段主脈和第1側脈之間葉上表皮細胞垂周壁彎曲程度sfc值和細胞縱、橫向直徑的比值slf值，種間有顯著差異，每種都有相對恆定范圍值。Based on the reseaching of lycoris leaf micro - morphology characters by sem scanning, light microscope viewing and using paraffin method in the article, we try to provide the proofs of experiment and the efffective characer indexes to discuss the system and evolution of the lycoris. we find these microscope characers through reseach are as follows : the arrangement type, density and the length of stoma ; the shape and length of the epidermal cells ; the ridge of epidermis ; the transverse shape of leaf ; the number of the vascular bundle ; the style of vessel arrangement of vascular bundle in the middle vein ; the layers of palisade tissue ; the ratio of the thicken of palisade tissue to that of spongy tissue ; the angle number of the middle leaf ; the type of ventilating cavity etc. these characters are different from those of species in lycoris, meanwhile these characters are similar to those of some species in lycoris. so these characters can be used as the character indexes for differentiating species and reseaching systematic evolution of lycoris ; we can divide lycoris into two subgenus by these characteristic indexes : the species of one subgenus are l. aurea ( l " her. ) herb, chinensis traub, l. caldweuii traub, l. anhuiensis y. hsu et q. j. fan, l. longituba y. hsu et q. j. fan ; the species of another subgenu s are l. houdyshelii traub, l. albiflora koidz.,
研究結果表明：葉表皮的氣孔排列方式、長度、長寬比，脊的明顯與否，葉表皮上的顆粒紋飾的多少、大小，葉表皮細胞長度、長寬比、垂周壁形狀，上部葉柵欄組織細胞層數、葉的維管束數、葉中脈導管組成數目，氣腔類型，葉的脊部遠軸面的角數，葉緣的形狀等這些特徵在種間存在差異，同時，在有些種之間又有相似性；因此，這些特徵既可以作為區分種的證據，又是研究石蒜屬植物系統演化的性狀指標，根據這些性狀指標，可以將石蒜屬植物大致分為兩個亞屬：一是忽地笑、中國石蒜、短蕊石蒜、安徽石蒜、長筒石蒜，二是江蘇石蒜、乳白石蒜、石蒜、玫瑰石蒜、稻草石蒜；在兩個亞屬中其中有些種如忽地笑、長筒石蒜、中國石蒜的親緣關系則更近些。Firstly, we directly use the motion vectors of macro - blocks defined in mpeg - i / ii compressing standards and filter the immobile macro - blocks. then, we build a skin color model in ycbcr color space using the convergent property of skin color, and we present the gaussian model skin recognition method and positive - negative look - up table method in details. and we analyze the texture of skin after wavelet transform and present a bayesian method based texture recognition method and a high texture filtering method
根據皮膚的運動性，首先直接利用mpeg -中的壓縮標準中有關宏塊運動預測的方法，提取宏塊的運動矢量，將沒有運動的宏塊過濾掉；然後，利用皮膚顏色的聚合性，在ycbcr顏色空間建立了皮膚的顏色模型，並分別闡述了基於高斯分佈模型的皮膚檢測法和正反概率表方法；最後，通過對皮膚進行小波變換后的紋理進行統計后，發現有效的利用皮膚紋理特徵，可以比較有效的過濾掉那些具有類似於皮膚顏色的背景，分別闡述了基於貝葉斯方法的紋理檢測方法和高紋理過濾法。分享友人