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    • 51. 发明授权
    • Structure-guided image measurement method
    • 结构导向图像测量方法
    • US06456741B1
    • 2002-09-24
    • US09739084
    • 2000-12-15
    • Shih-Jong J. LeeSeho Oh
    • Shih-Jong J. LeeSeho Oh
    • G06K946
    • G06K9/4609G06T7/13
    • Structure-guided image estimation and measurement methods are described for computer vision applications. Results of the structure-guided estimation are symbolic representations of geometry entities such as lines, points, arcs and circles. The symbolic representation facilitates sub-pixel measurements by increasing the number of pixels used in the matching of image features to structural entities, improving the detection of structural entities within the image, weighting the contribution of each image sample to the measurement that is being made and optimizing that contribution. After the structure-guided estimation, geometric entities are represented by their symbolic representations. Structure-guided measurements can be conducted using the symbolic representation of the geometric entities. Measurements performed from the symbolic representation are not limited by image resolution or pixel quantization error and therefore can yield sub-pixel accuracy and repeatability.
    • 针对计算机视觉应用描述了结构引导图像估计和测量方法。 结构指导估计的结果是几何实体的象征性表示,如线,点,弧和圆。 符号表示通过增加在图像特征与结构实体的匹配中使用的像素数量来促进子像素测量,改善图像内的结构实体的检测,对每个图像样本对正在进行的测量的贡献加权,以及 优化该贡献。在结构指导估计之后,几何实体由其符号表示来表示。 可以使用几何实体的符号表示来进行结构指导测量。 从符号表示进行的测量不受图像分辨率或像素量化误差的限制,因此可以产生子像素精度和重复性。
    • 57. 发明授权
    • Method and apparatus for rapidly processing data sequences
    • 快速处理数据序列的方法和装置
    • US5315700A
    • 1994-05-24
    • US838070
    • 1992-02-18
    • Richard S. JohnstonPaul V. BudakRobert C. SchmidtShih-Jong J. Lee
    • Richard S. JohnstonPaul V. BudakRobert C. SchmidtShih-Jong J. Lee
    • G06F9/38G06F15/16G06F15/80G06T1/00G06T1/20G06T1/60G06F3/14
    • G06T1/60
    • Improved method and apparatus are provided for performing parallel and pipeline processing of data sequences. The apparatus includes a plurality of memory circuits and a plurality of data processors wherein each data processor is constructed for parallel and pipeline processing of data sequences. Address controllers are provided for routing data between the memory circuits and the pixel processors. The address controllers are capable of directly coupling any memory circuit to any pixel processor so that data may be simultaneously transferred from a plurality of memory circuits to a plurality of pixel processors. Further, the pixel processors are provided with processing elements for performing data processing on neighboring data words of a data sequence. The address controller is constructed for providing data from the memory circuits in a plurality of sequences so that the data may be provided to the pixel processor first and second times in respective first and second sequences to enable two dimensional processing of the data sequence. A feature processor is provided for extracting specific information from the processed image data, relating to features of objects contained therein.
    • 提供了改进的方法和装置,用于执行数据序列的并行和流水线处理。 该装置包括多个存储器电路和多个数据处理器,其中每个数据处理器被构造用于数据序列的并行和流水线处理。 提供地址控制器用于在存储器电路和像素处理器之间路由数据。 地址控制器能够将任何存储器电路直接耦合到任何像素处理器,使得数据可以从多个存储器电路同时传送到多个像素处理器。 此外,像素处理器设置有用于对数据序列的相邻数据字执行数据处理的处理元件。 地址控制器被构造用于以多个序列提供来自存储器电路的数据,使得可以在相应的第一和第二序列中将数据提供给像素处理器第一次和第二次以实现数据序列的二维处理。 提供了一种特征处理器,用于从处理的图像数据中提取与其中包含的对象的特征有关的特定信息。
    • 59. 发明授权
    • Teachable object contour mapping for biology image region partition
    • 用于生物图像区域划分的可对象轮廓映射
    • US09122951B2
    • 2015-09-01
    • US12925874
    • 2010-11-01
    • Shih-Jong J. LeeSeho Oh
    • Shih-Jong J. LeeSeho Oh
    • G06K9/34G06K9/00
    • G06K9/342G06K9/0014
    • A teachable object contour mapping method for region partition receives an object boundary and a teaching image. An object contour mapping recipe creation is performed using the object boundary and the teaching image to generate object contour mapping recipe output. An object contour mapping is applied to an application image using the object contour mapping recipe and the application image to generate object contour map output. An object region partition using the object contour map to generate object region partition output. An updateable object contour mapping method receives a contour mapping recipe and a validation image. An object contour mapping is performed using the object contour mapping recipe and the validation image to generate validation contour map output. An object region partition receives a region mask to generate validation object region partition output. A boundary correction is performed using the validation object region partition to generate corrected object boundary output. An update contour mapping is performed using the corrected object boundary, the validation image and the contour mapping recipe to generate updated contour mapping recipe output.
    • 区域分区的可教对象轮廓映射方法接收对象边界和教学图像。 使用对象边界和教学图像执行对象轮廓映射配方创建,以生成对象轮廓映射配方输出。 使用对象轮廓映射配方和应用图像将对象轮廓映射应用于应用图像以生成对象轮廓图输出。 对象区域分区使用对象轮廓图生成对象区域分区输出。 可更新的对象轮廓映射方法接收轮廓映射配方和验证图像。 使用对象轮廓映射配方和验证图像执行对象轮廓映射以生成验证轮廓图输出。 对象区域分区接收区域掩码以生成验证对象区域分区输出。 使用验证对象区域分区执行边界校正,以生成校正对象边界输出。 使用校正的对象边界,验证图像和轮廓映射配方来执行更新轮廓映射以生成更新的轮廓映射配方输出。
    • 60. 发明申请
    • Method of directed pattern enhancement for flexible recognition
    • 用于灵活识别的定向图案增强方法
    • US20100092075A1
    • 2010-04-15
    • US12587157
    • 2009-10-02
    • Shih-Jong J. LeeSeho Oh
    • Shih-Jong J. LeeSeho Oh
    • G06K9/62G06K9/40G06K9/48
    • G06K9/6219G06K9/38G06K9/6277
    • A directed pattern enhancement method receives a learning image and pattern enhancement directive. Pattern enhancement learning is performed using the learning image and the pattern enhancement directive to generate pattern enhancement recipe. An application image is received and a pattern enhancement application is performed using the application image and the pattern enhancement recipe to generate pattern enhanced image. A recognition thresholding is performed using the pattern enhanced image to generate recognition result. The pattern enhancement directive consists of background directive, patterns to enhance directive, and patterns to suppress directive. An update learning method performs pattern enhancement progressive update learning.
    • 定向图案增强方法接收学习图像和图案增强指令。 使用学习图像和图案增强指令执行图案增强学习以产生图案增强配方。 接收应用图像,并且使用应用图像和图案增强配方来执行图案增强应用以生成图案增强图像。 使用图案增强图像执行识别阈值以产生识别结果。 模式增强指令包括背景指令,增强指令的模式和抑制指令的模式。 更新学习方法执行模式增强渐进式更新学习。