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It solves the problem that the unitary contour presentation can not correctly extract face contour in a face image which suffers from scale, rotation etc. The definition of the internal and external energy function is provided. At the same time, the global matching algorithm and local matching algorithm is given. The experiment shows that this presentation and the accompanying matching algorithm can be used to extract the face contour very well. So the image segmentation can be implemented by using it.②By analyzing the recognition principle of PCA method, we can conclude that the face images coming from different surrounding consist of different face image space. This is the essential reason that makes the generality of PCA method worse. Also, we give a measurement means to measure the distance from different face image space, so we can analyze face image space more conveniently.③We also construct various scale models and rotation pose models to detect the scale and rotating angle of face image to be recognized. The experiment results show that the detecting precision is very high. So it is good for face image feature extraction and face image representation.④Similarly, we construct local feature models of face image and utilize them to detect the local feature of face image. At the same time, we put forward a novel face image local feature detection algorithm, locating step by step. The experiment results show that this method can accurately detect the location of local face feature in a image.⑤A novel face image presentation model, dual attribute graph , is put forward. Firstly, it utilizes attribute graph to present the face image, then exact the local principal component coefficient and Gabor transform coefficient of thc pixels which corresponds to the nodes of the graph as the attribute of the nodes. This representation fully makes use of the statistical characteristic of the local face feature and utilizes Gabor transform to present the topographical structure of face image. So DAG has more general property.⑥Based on the DAG presentation, we give a DAG matching function and matching algorithm. During the design of the function and algorithm, the noise factor, e. g., lighting, scale and rotation pose are considered and tried to be eliminated. So the algorithm can give more general property.⑦A general face image recognition system is implemented. The experiment show the system can get better recognition performance under the noise surrounding of lighting, scale and rotation pose.

本文在上述研究的基础上，取得了如下主要研究成果：①构造了一个通用的人脸轮廓模型表示，解决了由于人脸图象尺度、旋转等因素而使得仅用单一轮廓表示无法正确提取人脸轮廓的问题，并给出了模型内、外能函数的定义，同时给出了模型的全局与局部匹配算法，实验表明，使用这种表示形式以及匹配算法，能够较好地提取人脸图象的轮廓，可实际用于人脸图象的分割；②深入分析了PCA方法的识别机制，得出不同成象条件下的人脸图象构成不同的人脸图象空间的结论，同时指出这也是造成PCA方法通用性较差的本质原因，并给出了不同人脸空间距离的一种度量方法，使用该度量方法能够直观地对人脸图象空间进行分析；③构造了各种尺度模板、旋转姿势模板以用于探测待识人脸图象的尺度、旋转角度，实验结果表明，探测精确度很高，从而有利于人脸图象特征提取，以及图象的有效表示；④构造了人脸图象的各局部特征模板，用于人脸图象局部特征的探测；同时提出了一种新的人脸图象局部特征探测法---逐步求精定位法，实验结果表明，使用这种方法能够精确地得到人脸图象各局部特征的位置；⑤提出了一种新的人脸图象表示法---双属性图表示法；利用属性图来表示人脸图象，并提取图节点对应图象位置的局部主成分特征系数以及Gabor变换系数作为图节点的属性，这种表示方法充分利用了人脸图象的局部特征的统计特性，并且使用Gabor变换来反映人脸图象的拓扑结构，从而使得双属性图表示法具有较强的通用性；⑥在双属性图表示的基础上，给出双属性图匹配函数及匹配算法，在函数及算法设计过程中，考虑并解决了光照、尺度、旋转姿势变化等因素对人脸图象识别的影响，使得匹配算法具有较强的通用性；⑦设计并实现了一个通用的人脸图象识别系统，实验结果表明，该系统在图象光照、尺度、旋转姿势情况下，得到了较好的识别效果。

Inthe present study, 1 mg of the dulse extract exhibited atotal polyphenol content approximating 10.3 lg gallicacid equivalents indicating the presence of compoundswith phenolic functional groups in the extract..

在本研究， dulse萃取物的1毫克在萃取物陈列了一总表明化合物的出现多酚美满的接近的10.3 lg五倍子酸等值与酚醛功能小组。

Of our predecessors by improving extraction technology, used solid-phase extraction way to extract a separation, that is, the AB-8 macroporous resin for solid phase, ethanol - water eluate, through multiple-eluting And constantly improve the preparation of conditions, from the extract of red flowers in the isolated flavonoids components.

对前人的提取工艺进行了改进，用固相萃取的方式对提取液进行了分离，即以AB－8大孔吸附树脂为固相，乙醇－水为洗脱液，通过多次洗脱，不断优化制备条件，从红花的提取物中分离出黄酮组分。

Methods Atherosclerotic model was developed by feeding the rats with high-cholesterol-fat diet for nine weeks and Equisetum extract and the rest of the extract were administrated to the rats at the same time.

选用雄性SD大鼠，复制食饵性动脉粥样硬化早期模型，用木贼提取物、提取剩余物分别预防性给药，以吉非罗齐为阳性药对照。

It is the first time that the petroleum ether extract and ethyl acetate extract of Nerviliafoadii.

首次确定了青天葵的石油醚和乙酸乙酯部位是体内抗肿瘤作用的有效部位。

ResultsPetroleum ether extract and ethyl acetate extract both had some anticancer effects in vitro.

结果青天葵石油醚和醋酸乙酯部位具有一定的体外抗肿瘤作用。

Objective To explore antibacterial effects of alchohol extract and petroleum ether extract from Herba Euphorbia humifusa on common oral pathogenic bacteria in vitro.

目的 探讨地锦草乙醇提取物和石油醚提取物对口腔病原菌的体外抗茵作用。

The effects of nitrogen application to the content of crude protein,ether extract,crude fiber,ash,nitrogen free extract,amino acids and linoleic acid were different.

施氮量对不同品种茎叶和穗粒中的粗蛋白、粗脂肪、粗纤维、粗灰分、无氮浸出物、氨基酸和亚油酸等品质指标影响不同。

The antibacterial activities of the acetic ether extract were analyzed with bacteria and fungus. Results showed this extract can suppress the growth of Staphylococcus aureus、S.

该浸膏对多种微生物的生长具有明显的抑制作用，其中对细菌Staphylococcus aureus、S。

ConclusionIt is the first time that the petroleum ether extract and ethyl acetate extract of Nervilia foadii Schltr. are proved to be the effective anticancer fractions in vitro.

结论首次确定了青天葵的石油醚和醋酸乙酯部分是体外抗肿瘤作用的有效部位。

Must have Coordination and negotiation skill, flexible ideas, and be punctilious person.

必须具备较好的协调与谈判能力，头脑灵活，工作认真仔细

Result: 18 patients are all with simple eye.The pigment mole lies in nasal and temple sides of the ball conjunctiva,in which 2 lie in lacrimal caruncle and semilunar plica.

结果：18例患者均为单眼，色素痣大多数位于内外侧睑裂部球结膜面，2例位于泪阜及半月皱襞，经激光治疗后，10例色素痣消失，有5例行再次激光后消失，2例行第三次激光后消失，1例第四次激光后消失。