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This contour phase correlation method is superior to the conventional phase correlation in two aspects. Firstly, the contours of images are extracted, and the phase correlation is applied to the contours of images instead of the whole original images, which is more efficient and robust. Secondly, when there are multiple peak values approximate to the maximum peak value in the δ function array, the corresponding translations can be regarded as candidate translations and calculated separately, and the best translation should be determined by the optimization of conformability of two images in the overlapping area.

本轮廓相位相关算法对常规的相位相关算法作了两点改进:(1)提取出图像的轮廓,只对二值化的轮廓图像进行相位相关计算,效率和鲁棒性提高;(2)当相位相关的δ函数阵列中存在多个和最大峰值比较接近的峰值时,将其对应的平移量都作为候选平移量,然后根据重叠区图像的一致性选取其中的最佳值。

Firstly,the new images' orientation parameters are resolved using the old aerial images with POS data in the same area,and feature points are extracted in old images,and new images' conjugate points are computed using forward intersection and collinearity equations.

首先利用带POS数据的老影像解求新影像的外方位元素,然后在老立体影像上提取特征点,根据前方交会和共线条件方程得到新影像上同名点的近似位置,再与新影像进行匹配,寻找匹配不好的点作为变化区域的初始位置。

A complete set of image processing and recognition of the source code This is our internal development and use of a image processing code, includes the most image processing and recognition processing function : as template transform, Image smoothing, sharpening, edge recognition, image filtering and fuzzy images, image inverse filtering, fuzzy image noise increases, Wiener filter images, linear transformation, gray tensile, histogram equalization, images corrosion, expansive images, image open operation, GIF correct coding, zooming, rotation, fast Fourier transform, discrete cosine transform, and so on and so forth, that is too many.

详细说明:一套完整的图像处理与识别的源码这是我们内部开发与使用的一套图像处理代码,里面包括了大部分图像处理与识别处理的的函数:像模板变换,图像的平滑、锐化、边缘识别、图像中值滤波、图像模糊、图像逆滤波、图像模糊加噪、图像维纳滤波、线性变换、灰度拉伸、直方图均衡、图像腐蚀、图像膨胀、图像开运算、GIF确码编码、缩放、旋转、快速付立叶变换、离散余弦变换等等,等等,太多了。

In IBR (image-based rendering) application, we introduce homotopy mapping into view interpolation based on uncalibrated images, and present three forms of perspective homotopic transform according to different conditions.①The linear interpolation technique presented only preserves perspective geometry, but the intrinsic and extrinsic parameters of camera are changed. For the uncalibrated images, its application is restricted.②The view interpolation presented for rotational uncalibrated images can preserve both perspective geometry and the intrinsic parameters of camera, and the view position can be controlled. At meanwhile, the image registration method and panoramic images synthetic method is presented.

3在基于图象的绘制技术方面,将同伦变换引入视图插补中,针对未标定图象序列,并根据以下三种情况给出相应的透视同伦变换,①只保证符合透视关系,而摄象机内外参数均已改变的线性插补技术,对于标定图象序列,这种插补技术是非约束的,而对于未标定图象序列则只适合于某些特殊场景;②旋转图象序列的视图插补技术,同时给出了旋转图象序列的整合及全景图生成方法;③通过对非约束图象的预校正,完成平移情况下的视点插补。

Results: The satisfactory MPR images of cochlea, bony semicircular canals, internal auditory meatus and other intratemporal structures can be obtained. The SSD images could show some important bony marks of temporal bone and spatial relationships between them clearly. On coronal plane, SSD images can vividly demonstrate the shape and spatial relationships of malleus and incus. A series images were obtained as the virtual endoscope moved from the external auditory canal to the middle ear cavity.

结果:MPR能在不同切面显示耳蜗、半规管、内耳道及面神经管垂直段等结构,显示率为100%;SSD能清晰显示颞骨重要的骨性结构,如内耳门、颈静脉孔等,冠状位切割后的SSD图像能生动地显示锤骨、砧骨的立体形态及空间关系;CTVE可模仿内窥镜从外耳向中耳移动,清晰显示骨性外耳道、鼓室内侧壁及听骨链等结构。

In the method the discrete cosine transform DCT is first applied to noisy facial images to remove its high frequency component noise, the removed noisy face images can be obtain through performing inverse discrete cosine transform. Then the two dimensional principal component analysis (2DPCA) is exploited to the removed noisy face images to obtain a set of eigenvectors that have larger correspondent eigenvalues, and the features of images with lower information dimensions are extracted to get fast recognition speed.

这方法首先对具杂讯脸部影像进行离散余弦转换去除高频杂讯,取得低频影像以降低高频杂讯干扰,然后再对低频影像以二维主分量分析(2DPCA)撷取前几个较高特徵值所对应的一组特徵向量,以降维与资讯集中达到快速辨识的目的。

As Tibetan Buddhism has been a ""thang kha"" of the most important performance China, limited and the images in the form of art materials, techniques are adhered to the strict Normative, and to a certain extent, restrained the images in the style and form of innovation can power, but also makes traditional performance practices to survive, many details in images, More delicate in the field has gradually lost ancient techniques, materials advantages in the images, Has been preserved in memory.

由于藏传佛教一直作为唐卡最主要的表现内容,限定了唐卡在艺术表现形式和材料、技法方面都坚守着严格的规范性,在一定程度上制约了唐卡在风格和形式上的创新能力,但也使得传统的表现手法的诸多细节在唐卡中得以幸存,许多在工笔画领域中已经逐渐失传的古代技法、材料优势在唐卡中被完好地传承至今。

It can be show different characteristics in the MRI of the orbital diseases, the sheath of the orbital tumor contain certain characteristics, can express soft muscle locate the orbital compartment or outside. and the tumor showed hypointensity or hypo-or isointense mass on T1-weighted images, and iso-or hyperintense or hyperintense mass on T2-weiglited images, inflammation expresses for the orbital inside limit the soft muscle or widespreads excrescent signal, and showed hypo-or isointense mass on Ti-weighted images, and iso-or hyperintense mass on T2-weighted images, the companion contain fatty the eye muscle big or the eye wreath increase thick, the lachrymal gland is swollen.

其在MRI表现各具有影像学特征,眼眶肿瘤多表现为位于眼眶内、外的局限性软组织肿块,MR T1WI呈等或稍低信号,T2WI呈高或等信号多见;炎性假瘤则表现为眶内局限性软组织肿块或弥漫性异常信号,MR T1WI呈低信号,T2WI呈高信号,常伴有眼肌肥大或眼环增厚,泪腺肿大等。

Based on the method of restoring the image by estimating the camera shake trace which is proposed by Fergus in 2006 as reference, we find the difference of statistical characteristics between blurred images and latent images by exploiting the natural image statistical characteristics more deeply, i.e. the precise components of natural clear images obey the Laplace distribution in their wavelet domain, but blurred images dont have this kind of characteristic.

本文参考了2006年Fergus提出的估计相机抖动轨迹进行复原的方法,通过进一步对自然图像统计特性的研究,寻找出模糊图像和清晰图像在统计特性上的差异,即清晰图像的小波域细节分量服从拉普拉斯分布,而模糊图像则不具有这种特性。

First, a non-negative tensor factorization algorithm is improved by imposing sparseness constraints on it. Secondly, the bispectral images of mechanical signals are obtained and stacked to form a third-order tensor. Thirdly, the improved algorithm is used to extract features, which are represented by a series of basis images from this tensor. Finally, coefficients indicating these basis images' weights in constituting original bispectral images are calculated for fault classification.

首先,改进已有的非负张量分解算法,加入稀疏度控制策略;其次,将机械振动信号的双谱图像堆叠为一个三阶张量;然后利用改进后的分解算法对该张量进行二次故障特征提取,得到代表局部特征的"基图像";最后,通过计算得出基图像在构成原双谱图像中所占的权重,并将得到的权重向量用于故障分类。

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