image dissector

image dissector的基本解释

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[计] 图象分析器

与image dissector相关的网络例句 [注：此内容来源于网络，仅供参考]

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。

Methods: 1. Experimental laparoscopic liver resection: We selected pigs as experimental models aiming to approach human beings physiological and anatomical condition. After CO2 pneumoperitoneum was established, the ligaments around liver were dissociated. Livers were cut off by the methods such as clamp dissection, microwave tissue coagulator, ultrasound dissector, Ligsure dissection, hand-assisted, short abdominal incision laparoscopy-assisted, and Endo-GIA switcher. The operation time and bleeding volume were compared between different methods of laparoscopic liver resection. The advantages and limitations of different methods were summarized. 2. Clinical laparoscopic liver resection: 15 cases with tumors in segment V of anterior right lobe or segments II, III of left lateral lobe or segment IV of left internal lobe were selected in this study. The liver diseases included hepatocellular cancer, hepatic cavernous hemangioma and hepatic focal nodular hyperplasia. The ligaments around liver were dissociated after CO2 pneumoperitoneum established. Laparoscopic liver resection were carried out by some of the methods combined such as clamp dissection, microwave tissue coagulator, hand-assisted, short abdominal incision laparoscopy-assisted, ultrasound dissector, rotation and suction dissector.

1、实验性腹腔镜肝切除：以猪为实验动物，旨在接近人体的生理、解剖环境下进行实验，建立操作空间后游离肝脏周围韧带，采用钳夹分离切肝法、微波刀切肝法、超声刀切肝法、Ligsure切肝法、手辅助腹腔镜肝切除法、小切口腹腔镜辅助切肝法、Endo-GIA切肝法等方法实施腹腔镜下肝切除，比较不同切肝方法的手术时间、出血量，总结各种方法的优越性及其局限性。2、临床腹腔镜肝切除：选择肿瘤位于肝右前叶第Ⅴ段、肝左外叶第Ⅱ、Ⅲ段及左内叶第Ⅳ段的15例患者，病种包括原发性肝癌、肝海绵状血管瘤、肝脏局灶性增生，建立气腹后游离肝脏周围韧带，采用钳夹分离断肝、微波刀固化后断肝、手辅助腹腔镜肝切除、小切口腹腔镜辅助肝切除、超声刀断肝、旋吸断肝等多种方法分离切线肝组织，暴露管道结构，再采用高频电凝、钛夹夹闭、缝扎止血、止血纱布覆盖、氩气刀止血、生物胶止血、Endo-GIA处理等多种方法相结合处理肝断面，统计手术完成情况、手术时间、手术出血量、术后并发症及术后住院时间等，评价腹腔镜肝切除的可行性及安全性。

It includes hardware equipments and foundational theory of the image digitization. This paper expatiates on some digital image processing technologies that the inspecting system may apply to the research and analysis of the collected glass-crack image. Using neighborhood average method and median filter retrains the image noises and make the image edge smooth. Then protract the histogram of the gray image, get the threshold of this image, utilize the threshold method and gray-level slice method to get a binary image, and detect the image edge. Finally calculate the area and perimeter of the glass-crack image, and use the circularity to judge whether this image is a glass-crack image.

本文重点阐述了研究和开发这套玻璃瓶裂纹检测系统所应用到的一些数字图像处理技术，并应用这些技术和方法对采集的裂纹图像进行了处理和分析：应用邻域平均法和中值滤波法来抑制图像的噪声，使图像的边缘平滑；然后绘制出处理过图像的灰度直方图，得到该幅裂纹图像的阈值，利用阈值法和灰度级切片法对裂纹图像进行二值化处理，得到其二值图像，并对图像进行了边缘检测；最后计算出裂纹图像的面积和周长，利用圆形度指标来判断该图像是否为裂纹图像。

与image dissector相关的网络解释 [注：此内容来源于网络，仅供参考]

image dissector：析像管

该装置利用了一种称作光电析像管(image dissector)的器件来采集影像,所谓光电析像管实际上是阴极射线管(CRT)的一种,它可将被摄物体成像于一层氧化铯材料上,这种材料受到光的照射会发射出电子,电子的数量与入射光的强度成正比,

image dissector：析象管

image degradation 星象劣化 | image dissector 析象管 | image distoration 星象复原

image dissector：析像器图像传感器

image copy 图象副本 | image dissector 析像器图像传感器 | image file 图象文件

image dissector：析像器,析像管

image compression 影像压缩 | image dissector 析像器,析像管 | image distance 像距

image dissector tube：析像管

image dissector 析像管 | image dissector tube 析像管 | image drift 图像漂移