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image area相关的网络例句

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

Finally, image morphing reality degree is defined for the first time in the research field of image morphing by computing the area between the curve and one coordinate axis, curvatures of the curve at different points, and so on.

它通过计算曲线与坐标轴,曲线插值点处的曲率和其他一些衡量标准得到。

Analysed existing dactylogram to collect detailed rules, commutation, dry to valid area, gray scale the respect such as deflection of wet, position undertook be discussinged deep to the influence of dactylogram picture quality, the is based on brim detail to nod information dactylogram picture quality that offers a kind to improve evaluates a method, the dactylogram image to be being collected undertakes quality is evaluated, the pretreatment that is image provides the dactylogram picture with higher quality.

分析了现有的指纹采集细则,对有效面积、灰度变换、干湿、位置偏移等方面对指纹图像质量的影响进行了深入的探索,并提出一种改进的基于边缘细节点信息的指纹图像质量评估方法,对采集到的指纹图像进行质量评测,为图像的预处理提供质量较高的指纹图像。

In order to identify the disfiguration, we colligate advantages of some other Image identify methods and develop a way belonged to this thesis. We call it character identify base on area division of Image.

最后,本文以LabVIEW与IMAQ-VISION软件相结合,开发了一套针对PCB元(来源:ABC6b论文网www.abclunwen.com)器件、接插孔、引脚、焊盘缺陷识别的检测系统。

Methods An unsupervised local and global features extraction method was adopted for the localization of facial features of frontal view face image. First, a threshold was used to segment the image into foreground and background, and the nose was localized by considering the symmetry of the face. Second, Harris operator was adopted to detect interest points in a rectangular area covering all the facial features, and then local maximum of the interest points were detected. And finally, Kmeans clustering method was used to cluster the points and obtain the facial features localization.

针对红外正面脸部图像,采用一种无监督的局部和全局的特征提取方法,首先通过阈值法区分出前景和背景,并根据面部特征对称性在前景中确定鼻区;然后在面部确定一个包含所有特征的矩形区域,利用Harris算子在该区域检测出角点,并找出这些点的局部最大值点;最后用Kmeans方法对这些点进行聚类。

Image segmentation is an important area in the general field of image processing and computer vision.

图像分割是图像处理和计算机视觉领域一个重要的研究方向。

Structures of cochlea were measured on the images of position I and II ,including upper hemicycile width of Basal turn, lower hemicycle width of Middle turn, Middle turn height, Cochlea height, Modiolus area, length and width of Cochlea Nerve Canal on image I and Basal turn diameter, Basal turn lumen on image II.

在标准方位图像上设计并测量耳蜗9个结构径线(笔者分别定义为径线A—I,图Ⅰ A-G,图Ⅱ H-I),径线A约衡量底周上半周宽度,径线B约衡量中周下半周宽度,径线C约衡量中周高度,径线D约衡量耳蜗高度,径线E约衡量蜗轴面积,径线F衡量蜗神经管宽度,径线G衡量蜗神经管长度,径线H约衡量耳蜗底周外径,径线I约衡量底周管径。

Big bitmaps will confine to the entire area of this control with a vertical scroll bar on Right side ( the scroll bar will be displayed if the height of the image is greater than the height of this control) and a horizontal scroll bar at the bottom of this control (the scrollbar will be displayed if the width of the image is greater than the width of this control).

大位图将只对本一份关于右侧垂直滚动条控制整个地区(滚动条将显示,如果图片的高度大于这个控件的高度)和水平滚动条的底部此控制(滚动条将显示,如果图像的宽度大于这个控件的宽度更大)。

Image inpainting is an important research topic in the area of image restoration.

数字图像修补是图像复原研究中的一个重要内容,也是当前图像处理和计算机视觉领域中的一个研究热点。

Image inpainting is an important research topic in the area of image restoration .

图像修复是图像复原研究中的一个重要内容,也是当前图像处理和计算机视觉领域中的一个研究热点。

Image inpainting is a new area of image restoration.

图像修补技术是图像复原中的一个新领域,在国内外受到广泛的重视。

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