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    • 11. 发明申请
    • IMAGE PROCESSING AND VECTORISATION
    • 图像处理和矢量
    • WO2008003944A2
    • 2008-01-10
    • PCT/GB2007/002470
    • 2007-07-03
    • THE UNIVERSITY COURT OF THE UNIVERSITY OF GLASGOWPATTERSON, JohnWILLS, Philip
    • PATTERSON, JohnWILLS, Philip
    • G06T9/20
    • G06T9/20
    • A method is provided for converting raster format image data to vector format image data comprising the step of generating contour data for a plurality of isochromic contours, whereby each isochromic contour is determined by applying a curve fitting process to a plurality of possible solution points and spatial error bounds for said solution points, wherein said solution points and error bounds are based on said raster format image data, said solution points being deemed to have colour values equal to the colour value of the contour, and the contour data is sufficient to allow reconstruction of said contour using the curve fitting process. Also provided are a method of converting raster format image data to vector format image data comprising the steps of determining a minimum set of contours to be generated by using diffusion equations to define a plurality of watersheds and generating contour data defining a contour around each watershed and methods of rendering an image from vector format image data and of determining errors in pixel colour values.
    • 提供了一种用于将光栅格式图像数据转换成矢量格式图像数据的方法,该方法包括产生多个等色阶轮廓的轮廓数据的步骤,从而通过将曲线拟合过程应用于多个等色阶轮廓来确定每个等色阶轮廓 多个可能的解决方案点和所述解决方案点的空间误差界限,其中所述解决方案点和误差界限基于所述光栅格式图像数据,所述解决方案点被认为具有等于轮廓的颜色值的颜色值,以及 轮廓数据足以允许使用曲线拟合过程重建所述轮廓。 还提供了一种将光栅格式图像数据转换成矢量格式图像数据的方法,该方法包括以下步骤:通过使用扩散方程来确定要生成的最小轮廓集,以定义多个分水岭并生成定义每个分水岭周围的轮廓的轮廓数据;以及 从矢量格式图像数据渲染图像以及确定像素颜色值错误的方法。
    • 12. 发明申请
    • METHOD OF DETECTING WATERMARKS
    • 检测水印的方法
    • WO2004090811A3
    • 2005-01-20
    • PCT/IB2004050385
    • 2004-04-02
    • KONINKL PHILIPS ELECTRONICS NVVAN VUGT HENRICUS A GVAN GESTEL HENRICUS A W
    • VAN VUGT HENRICUS A GVAN GESTEL HENRICUS A W
    • G06T1/00G06T9/00G06T9/20
    • G06T1/005G06T2201/0051G06T2201/0065
    • It is difficult to detect a watermark (40) in a video image sequence (20) if the image has been subjected (possibly by a hacker) to affine transforms such as scaling, rotation, flipping, etc. The transform carried out is generally unknown. Therefore, one or more inverse transforms (60) are performed to the image prior to detection (90) until a reliable decision can be made. The inverse transforms are performed with small stepsize variations of adequate parameters. In a preferred embodiment, an initial search for correlation is done between the inverse transformed image an a blurred version of the reference watermark, the blurred reference watermark being obtained by combining a number of e.g. rotated versions of the reference watermark. If some correlation has been found, the amount of blur and/or the stepsize is decreased. This requires fewer steps to detect the watermark.
    • 如果图像(可能由黑客)(例如可能由黑客)进行缩放,旋转,翻转等变换,则难以检测视频图像序列(20)中的水印(40)。所进行的变换通常是未知的 。 因此,在检测(90)之前对图像执行一个或多个逆变换(60),直到可以做出可靠的决定。 逆变换用适当参数的小步长变化进行。 在优选实施例中,在逆变换图像与参考水印的模糊版本之间进行相关的初始搜索,所述模糊参考水印通过组合多个例如, 旋转版本的参考水印。 如果发现了一些相关性,则模糊量和/或步幅减小。 这需要更少的步骤来检测水印。
    • 13. 发明申请
    • IMAGE DATA INTERPOLATION METHOD AND DEVICE AND MEDIUM RECORDING IMAGE DATA INTERPOLATION PROGRAM
    • 图像数据插值方法和设备和中等记录图像数据插值程序
    • WO00022571A1
    • 2000-04-20
    • PCT/JP1999/005582
    • 1999-10-08
    • B41J2/485G06T3/40G06T5/20G06T7/60G06T9/20H04N1/387H04N1/409H04N1/393
    • H04N1/4092G06T3/4007G06T3/403
    • An image data interpolation method which eliminates a conventional disadvantage that a jaggy original image is accurately enlarged to provide an unsatisfactory image. When a dot-matrix image is subject to a pixel interpolation, attentional pixels are scanned over the entire image when an image data is input at step 100, whether or not an edge is present in a 45 DEG or 135 DEG direction with reference to an attentional pixel is checked at step 115, the edge is smoothed in a 45 DEG or 135 DEG direction at steps 120 and 125 if the edge is in that angle direction, and then the image is subject to a pixel interpolation independently of the presence of an edge, thereby preventing the occurrence of a jaggy that may otherwise be caused by subjecting an image with an irregular edge to a pixel interpolation without any correction.
    • 一种图像数据插入方法,其消除了粗糙的原始图像被精确地放大以提供不令人满意的图像的常规缺点。 当点阵图像经受像素插值时,在步骤100输入图像数据时,在整个图像上扫描注意像素,无论边缘是否以45度或135度方向存在,参照 在步骤115检查注意像素,如果边缘处于该角度方向,边缘在步骤120和125处以45度或135度方向平滑,然后该图像经受像素内插,独立于存在 边缘,从而防止可能由于经历具有不规则边缘的图像到像素插值而不进行任何校正而引起的锯齿状的发生。
    • 19. 发明申请
    • APPARATUS FOR OPTICAL MICROFLUIDICS SLUG EDGE DETECTION
    • 用于光学微流控SLUG边缘检测的装置
    • WO2015109067A1
    • 2015-07-23
    • PCT/US2015/011553
    • 2015-01-15
    • CANON U.S. LIFE SCIENCES, INC.DENNEY, Bradley, Scott
    • DENNEY, Bradley, Scott
    • G06T9/20
    • G01N35/08B01L3/502784G06T7/12G06T7/13G06T7/143G06T2207/10024G06T2207/30108
    • A system and a method for slug edge detection in a microchannel of a microfluidic device is provided. Specifically, the system comprises an image sensor in communication with the microchannel. The microchannel has at least two fluid slugs each of which has a marker of different color providing color gradient across the edge between the adjacent fluid slugs. An edge score function is generated for each channel segmentation dividing the microchannel into two segments at a specific location along the microchannel. The edge score function is proportional to a between class variance for intensity values associated with the two selected channel segments. The edge location is determined as the location along the channel defining one of the channel segmentations based at least in part on the edge score function.
    • 提供了一种用于微流体装置的微通道中的边缘检测的系统和方法。 具体地,该系统包括与微通道连通的图像传感器。 微通道具有至少两个流体块塞,每个流体块塞具有不同颜色的标记,从而提供穿过相邻流体段之间的边缘的颜色梯度。 对于沿着微通道的特定位置处的微通道分割成两个段的每个通道分割产生边缘分数函数。 边缘评分函数与与两个选定的通道段相关联的强度值的类别方差成正比。 边缘位置被确定为至少部分地基于边缘分数函数沿着信道定义一个信道分割的位置。