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    • 63. 发明授权
    • Method of processing images
    • 图像处理方法
    • US07162062B2
    • 2007-01-09
    • US10028388
    • 2001-12-21
    • Jacques BreitensteinRaoul Florent
    • Jacques BreitensteinRaoul Florent
    • G06K9/46G06T7/60
    • G06T7/12G06T7/181G06T7/70G06T2207/10121G06T2207/20044G06T2207/30101
    • A method of processing images in images comprising curvilinear structures comprises, in parallel, a step of filtering said images and a decision step intended to select the pixels of the images pertaining to a curvilinear structure, the method comprising, in parallel, a sub-step of estimating the direction of each image pixel, as well as a sub-step of analyzing the connectivity of neighboring pixels based on their directions at the end of the sub-step of estimating the direction of each image pixel, and a sub-step of selecting groups of pixels as a function of the result of the sub-step of analyzing the connectivity of neighboring pixels based on their directions, at the end of the step of filtering. Such a method allows selection of curvilinear structures which are fine structures such as a catheter in a medical image, or thicker structures such as a tree-like structure of blood vessels. This method may be used, for example, in medical scanning apparatus for detecting artery anomalies such as stenosis or a diffuse coronary disease.
    • 一种在包括曲线结构的图像中处理图像的方法包括并行地对所述图像进行滤波的步骤和用于选择与曲线结构有关的图像的像素的判定步骤,该方法并行地包括子步骤 估计每个图像像素的方向的子步骤,以及在估计每个图像像素的方向的子步骤结束时分析相邻像素的连通性的子步骤,以及子步骤 在滤波步骤结束时,根据分析相邻像素的连通性的子步骤的结果,选择像素组。 这种方法允许选择作为医学图像中的导管的精细结构的曲线结构,或诸如血管的树状结构的较厚结构。 该方法可以用于例如用于检测狭窄或弥漫性冠状动脉疾病等动脉异常的医疗用扫描装置。
    • 66. 发明申请
    • Region-guided boundary refinement method
    • 区域引导边界细化方法
    • US20060104516A1
    • 2006-05-18
    • US10998282
    • 2004-11-15
    • Shih-Jong LeeTuan Phan
    • Shih-Jong LeeTuan Phan
    • G06K9/48G06K9/34
    • G06K9/48G06K9/0014G06T7/13G06T7/149G06T7/181G06T2207/20036G06T2207/20156
    • A region-guided boundary refinement method for object segmentation in digital images receives an initial object regions of interest and performs directional boundary decomposition using the initial object regions of interest to generate a plurality of directional object boundaries output. A directional border search is performed using the plurality of directional object boundaries to generate base border points output. A base border integration is performed using the base border points to generate base borders output. In addition, a boundary completion is performed using the base borders having boundary refined object regions of interest output. A region-guided boundary completion method for object segmentation in digital images receives an initial object regions of interest and base borders. It performs boundary completion using the initial object regions of interest and the base borders to generate boundary refined object regions of interest output. The boundary completion method performs border growing using the base borders to generate grown borders output. A region guided connection is performed using the grown borders to generate connected borders output. A region guided merging is performed using the connected borders to generate fined object regions of interest output.
    • 用于数字图像中的对象分割的区域引导边界细化方法接收目标的初始对象区域,并使用感兴趣的初始对象区域进行方向边界分解,以生成多个方向对象边界输出。 使用多个方向对象边界执行方向边界搜索以生成基本边界点输出。 使用基本边界点执行基本边界集成以生成基本边框输出。 此外,使用具有兴趣输出的边界精细对象区域的基本边界来执行边界完成。 用于数字图像中的对象分割的区域引导边界完成方法接收感兴趣的初始对象区域和基本边界。 它使用感兴趣的初始对象区域和基本边界来执行边界完成,以生成兴趣输出的边界细化对象区域。 边界完成方法使用基础边框执行边界生长以生成成长边界输出。 使用生成的边界执行区域引导连接以生成连接的边界输出。 使用连接的边界来执行区域引导合并,以产生感兴趣的精细对象​​区域输出。
    • 69. 发明授权
    • Image segmentation system
    • 图像分割系统
    • US06516097B1
    • 2003-02-04
    • US09354723
    • 1999-07-16
    • Mark D. Pritt
    • Mark D. Pritt
    • G06K944
    • G06T7/12G06T7/181G06T7/194G06T2207/30108
    • In a system for segmenting a pixel based image, pixels containing image boundaries are identified. The image boundaries are then fattened by repeatedly adding fattening rows of pixels to the pixels containing boundaries to separate the remaining pixels into separate segments. The separate segments are then grown back to their original size before the boundaries were fattened. This operation has the effect of linking the boundaries together to separate the image into segments and to extend incomplete boundaries into complete boundaries around segments in the image.
    • 在用于分割基于像素的图像的系统中,识别包含图像边界的像素。 然后,通过反复地向包含边界的像素添加育肥行,将剩余像素分离成单独的片段,从而使图像边界变胖。 然后将分开的部分生长回原来的尺寸,然后再分配边界。 该操作具有将边界连接在一起以将图像分割成段并将不完整边界扩展到图像中的段周围的完整边界的效果。
    • 70. 发明申请
    • Method of processing images
    • 图像处理方法
    • US20020114499A1
    • 2002-08-22
    • US10028388
    • 2001-12-21
    • Jacques BreitensteinRaoul Florent
    • G06K009/00
    • G06T7/12G06T7/181G06T7/70G06T2207/10121G06T2207/20044G06T2207/30101
    • A method of processing images in images comprising curvilinear structures comprises, in parallel, a step of filtering said images and a decision step intended to select the pixels of the images pertaining to a curvilinear structure, the method comprising, in parallel, a sub-step of estimating the direction of each image pixel, as well as a sub-step of analyzing the connectivity of neighboring pixels based on their directions at the end of the sub-step of estimating the direction of each image pixel, and a sub-step of selecting groups of pixels as a function of the result of the sub-step of analyzing the connectivity of neighboring pixels based on their directions, at the end of the step of filtering. Such a method allows selection of curvilinear structures which are fine structures such as a catheter in a medical image, or thicker structures such as a tree-like structure of blood vessels. This method may be used, for example, in medical scanning apparatus for detecting artery anomalies such as stenosis or a diffuse coronary disease.
    • 一种在包括曲线结构的图像中处理图像的方法包括并行地对所述图像进行滤波的步骤和用于选择与曲线结构有关的图像的像素的判定步骤,该方法并行地包括子步骤 估计每个图像像素的方向的子步骤,以及在估计每个图像像素的方向的子步骤结束时分析相邻像素的连通性的子步骤,以及子步骤 在滤波步骤结束时,根据分析相邻像素的连通性的子步骤的结果,选择像素组。 这种方法允许选择作为医学图像中的导管的精细结构的曲线结构,或诸如血管的树状结构的较厚结构。 该方法可以用于例如用于检测狭窄或弥漫性冠状动脉疾病等动脉异常的医疗用扫描装置。