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    • 1. 发明授权
    • Vision coprocessing
    • 视觉协同处理
    • US5793899A
    • 1998-08-11
    • US567454
    • 1995-12-05
    • Robert Anthony WolffSteven Mark RosenthalWilliam Michael SilverJean-Pierre Schott
    • Robert Anthony WolffSteven Mark RosenthalWilliam Michael SilverJean-Pierre Schott
    • G06T5/20G06K9/40
    • G06T5/20
    • A coprocessor in an image processing system is coupled to the bus to which a CPU and RAM holding image data are also coupled. The coprocessor extracts an input pixel stream corresponding to input images from selected bus transactions, performs computations on the input stream to produce output pixel streams corresponding to output images, and inserts the output pixel streams into selected CPU-to-memory bus transactions so that the memory stores the data. The CPU generates the selected bus transactions with specially marked address and/or control signals. The coprocessor includes a lookup table, and a first row delay. The row delay accumulates the three most recent rows of input pixels, which are sent to Sobel and rank processing sections for neighborhood processing. The results are thresholded and formatted, and are either output directly or passed through an additional pair of row delays to accumulate three rows of result data for neighborhood peak detection.
    • 图像处理系统中的协处理器耦合到总线,CPU和RAM保持图像数据也被耦合到总线上。 协处理器从所选择的总线事务中提取与输入图像相对应的输入像素流,对输入流执行计算,以产生与输出图像相对应的输出像素流,并将输出像素流插入到选定的CPU到存储器总线事务中, 内存存储数据。 CPU通过特别标记的地址和/或控制信号生成所选择的总线事务。 协处理器包括查找表和第一行延迟。 行延迟累积输入像素的三个最近行,其被发送到Sobel和等级处理部分用于邻域处理。 结果被阈值化和格式化,或者直接输出或通过附加的一对行延迟,以累积三行用于邻域峰值检测的结果数据。
    • 2. 发明授权
    • Vision coprocessing
    • 视觉协同处理
    • US5657403A
    • 1997-08-12
    • US891955
    • 1992-06-01
    • Robert Anthony WolffSteven Mark RosenthalWilliam Michael SilverJean-Pierre Schott
    • Robert Anthony WolffSteven Mark RosenthalWilliam Michael SilverJean-Pierre Schott
    • G06T5/20G06K9/54G06K9/60
    • G06T5/20
    • A coprocessor in an image processing system is coupled to the bus to which a CPU and RAM holding image data are also coupled. The coprocessor extracts an input pixel stream corresponding to input images from selected bus transactions, performs computations on the input stream to produce output pixel streams corresponding to output images, and inserts the output pixel streams into selected CPU-to-memory bus transactions so that the memory stores the data. The CPU generates the selected bus transactions with specially marked address and/or control signals. The coprocessor includes a lookup table, and a first row delay. The row delay accumulates the three most recent rows of input pixels, which are sent to Sobel and rank processing sections for neighborhood processing. The results are thresholded and formatted, and are either output directly or passed through an additional pair of row delays to accumulate three rows of result data for neighborhood peak detection.
    • 图像处理系统中的协处理器耦合到总线,CPU和RAM保持图像数据也被耦合到总线上。 协处理器从所选择的总线事务中提取与输入图像相对应的输入像素流,对输入流执行计算,以产生与输出图像相对应的输出像素流,并将输出像素流插入到选定的CPU到存储器总线事务中, 内存存储数据。 CPU通过特别标记的地址和/或控制信号生成所选择的总线事务。 协处理器包括查找表和第一行延迟。 行延迟累积输入像素的三个最近行,其被发送到Sobel和等级处理部分用于邻域处理。 结果被阈值化和格式化,或者直接输出或通过附加的一对行延迟,以累积三行用于邻域峰值检测的结果数据。
    • 3. 发明授权
    • Single step coarse registration and inspection of circular objects
    • 单步粗略注册和检查圆形物体
    • US5818443A
    • 1998-10-06
    • US643174
    • 1996-05-06
    • Jean-Pierre Schott
    • Jean-Pierre Schott
    • G06T3/00G06T7/00G06T7/60G06K9/00
    • G06T7/001G06T7/0024G06T2207/30164
    • A very fast, memory efficient, single-step solution for coarse alignment with determination of angular displacement, and inspection for surface defects on circular objects with non-symmetric patterns and random orientation is described. A suitable geometric partition model of an image is constructed that includes a plurality of spatial bins that can be used for rotation estimation and defect detection. In one embodiment for inspection of circular objects, the geometric partitioning includes 256 spatial bins constituted by concentric circular rings divided into sectors. The number of sectors and thickness of the rings are such that the approximate number of pixels in each region is the same. A set of numbers that encode rotational position and gray level information on the plurality of spatial bins of a reference object are acquired during training and used during run-time wherein the same information relative to a circular object being inspected is computed, and the data are correlated to determine both the coarse rotation and gray level difference in pertinent ones of the plurality of spatial bins.
    • 描述了一种非常快速,高效的单步解决方案,用于确定角位移的粗略对齐,并对具有非对称图案和随机取向的圆形物体上的表面缺陷进行检查。 构建图像的合适的几何分割模型,其包括可以用于旋转估计和缺陷检测的多个空间仓。 在用于检查圆形物体的一个实施例中,几何划分包括由分成扇区的同心圆环构成的256个空间仓。 扇区的数量和环的厚度使得每个区域中的近似像素数相同。 在训练期间获取编码基准对象的多个空间分区上的旋转位置和灰度信息的一组数字,并在运行时使用相对于被检查的圆形对象的相同信息,并且数据是 相关联以确定多个空间区段中相关的空间区段中的粗略旋转和灰度级差异。
    • 6. 发明授权
    • Golden template comparison for rotated and/or scaled images
    • 旋转和/或缩放图像的金色模板比较
    • US5850466A
    • 1998-12-15
    • US391842
    • 1995-02-22
    • Jean-Pierre Schott
    • Jean-Pierre Schott
    • G06K9/64G06T3/40G06K9/68G06T3/20G06T3/60
    • G06T3/403G06K9/6203
    • A method for Golden Template Comparison (GTC) is provided that can be used to efficiently perform flaw and defect detection on a two-dimensional test image that is at least rotated and/or scaled and/or sub-pixel translated. Run-time inspection speed and accuracy is substantially improved by retreiving a golden template image that is rotated and/or scaled and/or translated in a manner substantially similar to the test image. This is accomplished by storing, in an array, a varied plurality of golden template images, each golden template image being characterized by a different combination of at least rotation and/or scale and/or sub-pixel translation. The array is indexed by the respective quantized rotation and/or quantized scale and/or sub-pixel translation of each version of the golden template image. The array can be either one-dimensional or multi-dimensional. At run-time, the values of the rotation and/or scale and/or sub-pixel translation of each test image are measured, and then quantized, thereby providing a unique index into the multi-dimensional array of reference and threshold images. The reference and threshold images stored at the memory location corresponding to the index are retrieved and then used for comparison with the test image to provide a difference image to be analyzed for flaws or defects.
    • 提供了一种用于金模板比较(GTC)的方法,其可用于在至少旋转和/或缩放和/或子像素翻译的二维测试图像上有效地执行缺陷和缺陷检测。 通过以基本上类似于测试图像的方式回溯以旋转和/或缩放和/或翻译的金色模板图像来大大改善运行时检查速度和精度。 这是通过以阵列形式存储不同的多个金色模板图像来实现的,每个黄金模板图像的特征在于至少旋转和/或缩放和/或子像素平移的不同组合。 通过金色模板图像的每个版本的相应的量化旋转和/或量化尺度和/或子像素平移来对阵列进行索引。 阵列可以是一维还是多维。 在运行时,测量每个测试图像的旋转和/或缩放和/或子像素平移的值,然后进行量化,从而向参考和阈值图像的多维阵列提供唯一的索引。 检索存储在与索引对应的存储器位置处的参考和阈值图像,然后用于与测试图像进​​行比较,以提供要分析缺陷或缺陷的差异图像。
    • 7. 发明授权
    • Temporal smoothing of scene analysis data for image sequence generation
    • 用于图像序列生成的场景分析数据的时间平滑
    • US06297825B1
    • 2001-10-02
    • US09055843
    • 1998-04-06
    • Paul B. MaddenWesley K. CobbJean-Pierre SchottDavid AskeyKenneth J. Eyring
    • Paul B. MaddenWesley K. CobbJean-Pierre SchottDavid AskeyKenneth J. Eyring
    • G06T1500
    • G06T5/002G06T5/50G06T2207/10016G06T2207/20016G06T2207/20182
    • A technique for temporal smoothing of results from a scene analysis process which creates a sequence of visually pleasing and acceptable images generated in whole or part from such results. The technique applies temporal smoothing across time-related sets of scene analysis results. The spatial smoothing can be applied at various steps in the process: to images in the original sequence, to intermediate or final results of scene analysis in either a pixel-oriented or geometric domain, or to the images generated in whole or part from the scene analysis results. In a preferred embodiment, different levels of smoothing are applied to different parts of the intermediate or final results. The differentiation can be done using image masks (for pixel-oriented results) or geometry selection techniques (for geometric results). This allows a higher level of smoothing in certain areas where the generated visual images will benefit from such additional smoothing, while avoiding over-smoothing in other areas where the smoothing would obscure critical details within the generated images.
    • 一种用于从场景分析过程对结果进行时间平滑的技术,其创建从这样的结果全部或部分生成的视觉上令人满意的和可接受的图像序列。 该技术对时间相关的场景分析结果集进行时间平滑。 可以在该过程中的各个步骤中应用空间平滑:将原始序列中的图像,面向像素或几何域中的场景分析的中间或最终结果,或整个或部分从场景生成的图像 分析结果。 在优选实施例中,将不同级别的平滑应用于中间或最终结果的不同部分。 可以使用图像掩模(用于像素取向的结果)或几何选择技术(用于几何结果)来进行区分。 这允许在产生的视觉图像将受益于这种附加平滑的某些区域中更高水平的平滑,同时避免在平滑将模糊生成的图像内的关键细节的其他区域中的过度平滑。