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    • 53. 发明专利
    • Fundus observation apparatus, ophthalmologic image processing apparatus, and ophthalmologic image processing program
    • 基金观察设备,眼科图像处理设备和眼科图像处理程序
    • JP2007325831A
    • 2007-12-20
    • JP2006160896
    • 2006-06-09
    • Topcon Corp株式会社トプコン
    • AOKI HIROYUKIFUJIMURA TAKASHIFUKUMA YASUFUMITSUKADA HIROSHIKIKAWA TSUTOMU
    • A61B3/14A61B3/12G01N21/17G01N21/64
    • A61B3/102G06T7/12G06T7/174G06T7/181G06T2207/10101G06T2207/30041
    • PROBLEM TO BE SOLVED: To keep track of a position of an image region corresponding to a cross section of a blood vessel in a tomographic image of a fundus. SOLUTION: A fundus observation apparatus 1 acquires both of a fundus image Ef' of a fundus Ef and tomographic images G1-Gm. An integrated image generation part 231 integrates each tomographic image Gi over the depth direction and generates an integrated image. A blood vessel region selection part 232 selects the blood vessel region respectively from the fundus image Ef' and the integrated image. A blood vessel region positioning part 233 positions the two blood vessel regions. A blood vessel cross sectional region identification part 234 identifies the position of the blood vessel cross sectional region in the each tomographic image Gi from the positioning result. An image interpolation part 235 interpolates images in a layer region in an image region just under the blood vessel cross sectional region (just under the blood vessel region) and a border region. A layer thickness calculation part 236 calculates a thickness of the layer region on a given position of the eyeground Ef including the position just under the blood vessel region. COPYRIGHT: (C)2008,JPO&INPIT
    • 要解决的问题:跟踪在眼底断层图像中对应于血管横截面的图像区域的位置。 解决方案:眼底观察装置1获取眼底Ef的眼底图像Ef'和断层图像G1-Gm两者。 集成图像生成部231对深度方向上的各断层图像Gi进行积分,生成集成图像。 血管区域选择部件232分别从眼底图像Ef'和集成图像中选择血管区域。 血管区域定位部233定位两个血管区域。 血管横截面区域识别部件234根据定位结果识别每个断层图像Gi中的血管横截面区域的位置。 图像内插部件235在正好在血管横截面区域(血管区域正下方)的图像区域和边界区域中的图像区域内插图像。 层厚计算部236计算包括刚好在血管区域下方的位置的眼球Ef的给定位置上的层区域的厚度。 版权所有(C)2008,JPO&INPIT
    • 54. 发明专利
    • Method and system for generating polygon boundary definition for image object
    • 用于生成图像对象的多边形定义的方法和系统
    • JP2007133874A
    • 2007-05-31
    • JP2006301296
    • 2006-11-07
    • General Electric Co ゼネラル・エレクトリック・カンパニイGeneral Electric Company
    • BRUNO JEANETTE MARIE
    • G06T3/00G06T7/60
    • G06K9/48G06K9/4638G06T7/12G06T7/181
    • PROBLEM TO BE SOLVED: To provide an improved method for identifying an image object boundary. SOLUTION: When boundary points 26, 27, 50 and 52, which describe lines defining a polygon deciding an outline of each object, are found, an image object 28 inside a two-dimensional image is identified. In processing, lines 32, 34, 36 and 38 of pixels between the boundary points are tracked for determining whether an added pixel 30 is a part of the image object or not by referring to a discriminator. Consequently, the boundary points are identified for contact pixels and contact lines. Arm-shaped areas 74, 76, 78, 79, and 80 are identified by recursive analysis based on the similar method. A list of the consequent boundary points can be used for identifying the image object for labeling/tagging in a web-based manual/catalog. COPYRIGHT: (C)2007,JPO&INPIT
    • 要解决的问题:提供一种用于识别图像对象边界的改进方法。 解决方案:当找到描述确定每个对象的轮廓的多边形的线的边界点26,27,50和52时,识别二维图像内部的图像对象28。 在处理中,跟踪边界点之间的像素的线32,34,36和38,以通过参考鉴别器来确定添加的像素30是否是图像对象的一部分。 因此,为接触像素和接触线识别边界点。 基于类似的方法,通过递归分析来识别手臂区域74,76,78,79和80。 随后的边界点的列表可用于识别基于Web的手册/目录中的标签/标记的图像对象。 版权所有(C)2007,JPO&INPIT