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    Methods for adaptive and progressive gradient-based multi-resolution color image segmentation and systems thereof
    3.
    发明授权
    Methods for adaptive and progressive gradient-based multi-resolution color image segmentation and systems thereof 有权
    用于自适应和渐进梯度的多分辨率彩色图像分割的方法及其系统

    公开(公告)号：US08515171B2

    公开(公告)日：2013-08-20

    申请号：US12655933

    申请日：2010-01-11

    申请人： Sreenath Rao Vantaram ,  Eli Saber ,  Sohail Dianat ,  Mark Shaw ,  Ranjit Bhaskar

    发明人： Sreenath Rao Vantaram ,  Eli Saber ,  Sohail Dianat ,  Mark Shaw ,  Ranjit Bhaskar

    IPC分类号： G06K9/34 ,  G06K9/00 ,  G06K9/66

    CPC分类号： G06T7/174 ,  G06T7/11 ,  G06T7/136 ,  G06T7/155 ,  G06T7/168 ,  G06T7/187 ,  G06T2207/10024 ,  G06T2207/20036 ,  G06T2207/20064

    摘要： A multi-resolution color image segmentation algorithm which takes advantage of gradient information in an adaptive and progressive framework is described. A gradient-based segmentation method is initiated with a dyadic wavelet decomposition scheme of an arbitrary input image, accompanied by a vector gradient calculation of its color converted counterpart. The resultant gradient map is used to automatically and adaptively generate thresholds for segregating regions of varying gradient densities, at different resolution levels of the input image pyramid. In combination with a confidence map and non-linear spatial filtering techniques, regions of high confidence are passed from one resolution level to another until the final segmentation at highest (original) resolution is achieved.

    摘要翻译： 描述了利用自适应和渐进框架中的梯度信息的多分辨率彩色图像分割算法。 基于梯度的分割方法由任意输入图像的二元小波分解方案启动，伴随着其颜色转换对应物的向量梯度计算。 结果梯度图用于在输入图像金字塔的不同分辨率水平下自动和自适应地生成用于分离具有不同梯度密度的区域的阈值。 结合置信图和非线性空间滤波技术，高信度的区域从一个分辨率级别传递到另一个分辨率级别，直到达到最高（原始）分辨率的最终分割。

    Image segmentation using dynamic color gradient threshold, texture, and multimodal-merging
    4.
    发明申请
    Image segmentation using dynamic color gradient threshold, texture, and multimodal-merging 审中-公开
    使用动态颜色渐变阈值，纹理和多模态合并的图像分割

    公开(公告)号：US20090080773A1

    公开(公告)日：2009-03-26

    申请号：US11858826

    申请日：2007-09-20

    申请人： Mark Shaw ,  Ranjit Bhaskar ,  Luis Garcia Ugarriza ,  Eli Saber ,  Vincent Amuso

    发明人： Mark Shaw ,  Ranjit Bhaskar ,  Luis Garcia Ugarriza ,  Eli Saber ,  Vincent Amuso

    IPC分类号： G06K9/34

    CPC分类号： G06T7/41 ,  G06T7/11 ,  G06T7/187 ,  G06T2207/10024

    摘要： A method for segmenting an image receives the image. The image has a number of pixels and a number of color channels. The image is initially segmented into a number of initial regions at least by dynamically selecting a plurality of seeds within the image using a dynamic color gradient threshold and growing the initial regions from the seeds until the initial regions encompass all the pixels of the image. A texture channel of the image is generated at least by applying an entropy filter to each of a plurality of quantized colors of the image. The initial regions into which the image has been initially segmented are multimodal-merged based on the color channels and the texture channel of the image, to yield a number of merged regions corresponding to segmentation of the image.

    摘要翻译： 用于分割图像的方法接收图像。 该图像具有多个像素和多个颜色通道。 至少通过使用动态颜色梯度阈值动态地选择图像内的多个种子，并且从种子生长初始区域直到初始区域包含图像的所有像素，该图像最初被分割成多个初始区域。 至少通过对图像的多个量化颜色中的每一个应用熵滤波来生成图像的纹理通道。 图像初始分割到的初始区域是基于图像的颜色通道和纹理通道进行多模式合并的，以产生与图像分割对应的多个合并区域。

    Methods for adaptive and progressive gradient-based multi-resolution color image segmentation and systems thereof
    5.
    发明申请
    Methods for adaptive and progressive gradient-based multi-resolution color image segmentation and systems thereof 有权
    用于自适应和渐进梯度的多分辨率彩色图像分割的方法及其系统

    公开(公告)号：US20100183225A1

    公开(公告)日：2010-07-22

    申请号：US12655933

    申请日：2010-01-11

    申请人： Sreenath Rao Vantaram ,  Eli Saber ,  Sohail Dianat ,  Mark Shaw ,  Ranjit Bhaskar

    发明人： Sreenath Rao Vantaram ,  Eli Saber ,  Sohail Dianat ,  Mark Shaw ,  Ranjit Bhaskar

    IPC分类号： G06K9/34

    CPC分类号： G06T7/174 ,  G06T7/11 ,  G06T7/136 ,  G06T7/155 ,  G06T7/168 ,  G06T7/187 ,  G06T2207/10024 ,  G06T2207/20036 ,  G06T2207/20064

    摘要： A multi-resolution color image segmentation algorithm which takes advantage of gradient information in an adaptive and progressive framework is described. A gradient-based segmentation method is initiated with a dyadic wavelet decomposition scheme of an arbitrary input image, accompanied by a vector gradient calculation of its color converted counterpart. The resultant gradient map is used to automatically and adaptively generate thresholds for segregating regions of varying gradient densities, at different resolution levels of the input image pyramid. In combination with a confidence map and non-linear spatial filtering techniques, regions of high confidence are passed from one resolution level to another until the final segmentation at highest (original) resolution is achieved.

    摘要翻译： 描述了利用自适应和渐进框架中的梯度信息的多分辨率彩色图像分割算法。 基于梯度的分割方法由任意输入图像的二元小波分解方案启动，伴随着其颜色转换对应物的向量梯度计算。 结果梯度图用于在输入图像金字塔的不同分辨率水平下自动和自适应地生成用于分离具有不同梯度密度的区域的阈值。 结合置信图和非线性空间滤波技术，高信度的区域从一个分辨率级别传递到另一个分辨率级别，直到达到最高（原始）分辨率的最终分割。

    Corner sharpening of text and line art in a super resolution anti-aliasing image path
    6.
    发明申请
    Corner sharpening of text and line art in a super resolution anti-aliasing image path 有权
    在超分辨率抗锯齿图像路径中锐化文本和线条艺术

    公开(公告)号：US20050129328A1

    公开(公告)日：2005-06-16

    申请号：US10736822

    申请日：2003-12-15

    申请人： Eli Saber ,  Robert Loce

    发明人： Eli Saber ,  Robert Loce

    IPC分类号： G06T5/20 ,  G06F3/12 ,  G06K9/62 ,  G06T5/00 ,  G06T11/00

    CPC分类号： G06T5/002 ,  G06T5/003 ,  G06T5/20 ,  G06T2200/12 ,  G06T2207/20164 ,  G06T2207/30176

    摘要： A method for sharpening the corners of digital image data within an anti-aliasing image path so as to overcome corner rounding when displayed or printed. The method comprises stepping a window across the image data and comparing that windowed data to templates or performing Boolean logic and arithmetic operations on the image data. Upon determining a match or a corner detection, pixel values are substituted in the identified pixel locations to achieve a clustering of the substituted pixel values about the corner structure producing a corner-enhanced digital image. Filtering and sampling are then performed according to an anti-alias operation to the corner-enhanced image to produce an anti-aliased corner enhanced image. The data substitution will achieve a localized clustering or “ear” of toner/ink, or in the alternative for inside corners the localized clustered absence of toner/ink. The result of this clustering is a sharpening of the corners so that they display or print as intended by the bitmap.

    摘要翻译： 一种用于在抗锯齿图像路径内锐化数字图像数据的角的方法，以便在显示或打印时克服角圆。 该方法包括跨越图像数据步进窗口，并将该窗口数据与模板进行比较，或对图像数据执行布尔逻辑和算术运算。 在确定匹配或拐角检测时，在识别的像素位置中替换像素值，以实现关于角部结构的取代像素值的聚类，从而产生拐角增强数字图像。 然后根据对角增强图像的抗混叠操作来执行滤波和采样，以产生抗锯齿角增强图像。 数据替代将实现调色剂/墨水的局部聚集或“耳朵”，或者在内部角落中可选择地定位聚集的墨粉/墨水不存在。 这种聚类的结果是锐化锐角，使得它们按位图显示或打印。

    Systems and methods for obtaining a spatial color profile, and calibrating a marking system
    7.
    发明授权
    Systems and methods for obtaining a spatial color profile, and calibrating a marking system 有权
    用于获得空间色彩轮廓的系统和方法，以及校准标记系统

    公开(公告)号：US07295340B2

    公开(公告)日：2007-11-13

    申请号：US10248387

    申请日：2003-01-15

    申请人： Lalit K. Mestha ,  Steve Bolte ,  Eli Saber ,  Shawn Updegraff

    发明人： Lalit K. Mestha ,  Steve Bolte ,  Eli Saber ,  Shawn Updegraff

    IPC分类号： H04N1/50

    CPC分类号： H04N1/4078

    摘要： Tone reproduction curves for calibrating a marking system are obtained using a test pattern with a plurality of patches, preferably a plurality of first test patches extending in a first direction and at least one second test patch extending in a second direction crossing the first direction. Reflectance values are obtained from the first and second test patches. A set of gray balanced tone reproduction curves are obtained based on the reflectance values of the first test patches, and a set of spatial gray balanced tone reproduction curves are obtained based on the reflectance values of the second test patches.

    摘要翻译： 用于校准标记系统的色调再现曲线是使用具有多个贴片的测试图案，优选地是沿第一方向延伸的多个第一测试贴片和沿与第一方向交叉的第二方向延伸的至少一个第二测试贴片获得的。 从第一和第二测试片获得反射率值。 基于第一测试片的反射率值获得一组灰平衡色调再现曲线，并且基于第二测试片的反射率值获得一组空间灰度平衡色调再现曲线。