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    METHOD AND SYSTEM FOR CAPTURING IMAGES FOR WOUND ASSESSMENT WITH MOISTURE DETECTION
    2.
    发明申请
    METHOD AND SYSTEM FOR CAPTURING IMAGES FOR WOUND ASSESSMENT WITH MOISTURE DETECTION 审中-公开

    公开(公告)号：US20180192029A1

    公开(公告)日：2018-07-05

    申请号：US15394846

    申请日：2016-12-30

    Applicant: KONICA MINOLTA LABORATORY U.S.A., INC.

    Inventor： Wei Ming ,  Xiaonong Zhan ,  Taisuke Akahori

    IPC: H04N13/02 ,  G06T7/00 ,  G06K9/46 ,  G06K9/62 ,  G06T7/90 ,  G06T7/50 ,  H04N5/235 ,  H04N5/232 ,  A61B5/00

    Abstract: A wound assessment method which can estimate a moisture level of the wound, and related image capture device. The wound area is imaged at least twice where the wound is illuminated under different illumination light intensities. The first image captured using a relatively low illumination light intensity is analyzed to assess the wound, for example measuring its size, color and texture. The second image captures using a relatively high illumination light intensity (e.g. using a flash) is analyzed to estimate the moisture level of the wound. The moisture level estimation method extracts white connected components from the second image, and estimates the moisture level based on the number, sizes, and centroid distribution of the white connected components. A 3D image of the wound may also be captured, e.g. using a structured-light 3D scanner of the image capture device.

    Method and system for capturing an image for wound assessment
    3.
    发明授权
    Method and system for capturing an image for wound assessment 有权

    公开(公告)号：US10070049B2

    公开(公告)日：2018-09-04

    申请号：US14877352

    申请日：2015-10-07

    Applicant: Konica Minolta Laboratory U.S.A., Inc.

    Inventor： Kim Chai Ng ,  Xiaonong Zhan ,  Wei Ming

    IPC: A61B5/00 ,  H04N5/232 ,  H04N5/247 ,  G06F3/0482

    Abstract: A method is disclosed of capturing an image of a wound on a subject for wound assessment. The method includes obtaining an image of a portion of the subject with one or more cameras; displaying the image on a display panel on an imaging device; obtaining a stored condition from a memory; obtaining a present condition; comparing the stored condition and the present condition; displaying a crosshair over the image on the display panel when it is decided that the present condition corresponds to the stored condition on the basis of the comparison; receiving an instruction for capturing; and capturing an image of the wound in response to the received instruction.

    Method and apparatus for authenticating printed documents that contains both dark and halftone text
    8.
    发明授权
    Method and apparatus for authenticating printed documents that contains both dark and halftone text 有权
    用于认证包含黑暗和半色调文本的打印文档的方法和装置

    公开(公告)号：US09596378B2

    公开(公告)日：2017-03-14

    申请号：US15071623

    申请日：2016-03-16

    Applicant: KONICA MINOLTA LABORATORY U.S.A., INC.

    Inventor： Xiaonong Zhan ,  Wei Ming ,  Songyang Yu

    IPC: G06K9/00 ,  G06K9/34 ,  H04N1/40 ,  G06F3/12 ,  G06K15/00 ,  H04N1/403 ,  H04N1/44 ,  H04N1/32

    CPC classification number: H04N1/403 ,  H04N1/32101 ,  H04N1/4446 ,  H04N2201/3226 ,  H04N2201/3235 ,  H04N2201/3269 ,  H04N2201/3271

    Abstract: A document authentication method determines the authenticity of a target hardcopy document, which purports to be a true copy of an original hardcopy document. The method compares a binarized image of the target document with a binarized image of the original document which has been stored in a storage device. The image of the original document is generated by binarizing a scanned grayscale image of the original document. Halftone and non-halftone text areas in the grayscale image area separated, and the two types of text are separately binarized. The non-halftone text areas are then down-sampled. During authenticating, a scanned grayscale image of the target document is binarized by separating halftone and non-halftone text areas and binarizing them separately, and then down-sampling the non-halftone text areas. The binarized images of the target document and the original document are compared to determine the authenticity of the target document.

    Abstract translation: 文档认证方法确定目标硬拷贝文档的真实性，其目的在于是原始硬拷贝文档的真实副本。 该方法将目标文档的二值化图像与存储在存储装置中的原始文档的二值化图像进行比较。 原始文档的图像是通过对原始文档的扫描灰度图像进行二值化生成的。 灰度图像区域中的半色调和非半色调文本区域分开，两种类型的文本被分开二进制化。 非半色调文本区域然后被下采样。 在认证过程中，目标文档的扫描灰度图像通过分离半色调和非半色调文本区域进行二进制化，并将它们分开二值化，然后对非半色调文本区域进行下采样。 比较目标文档和原始文档的二值化图像，以确定目标文档的真实性。

    AUTOMATIC SELECTION OF OPTIMUM ALGORITHMS FOR HIGH DYNAMIC RANGE IMAGE PROCESSING BASED ON SCENE CLASSIFICATION
    9.
    发明申请
    AUTOMATIC SELECTION OF OPTIMUM ALGORITHMS FOR HIGH DYNAMIC RANGE IMAGE PROCESSING BASED ON SCENE CLASSIFICATION 有权
    自动选择基于场景分类的高动态范围图像处理的最优算法

    公开(公告)号：US20150170389A1

    公开(公告)日：2015-06-18

    申请号：US14105652

    申请日：2013-12-13

    Applicant: KONICA MINOLTA LABORATORY U.S.A., INC.

    Inventor： Wei Ming ,  Xiaonong Zhan

    IPC: G06T11/60

    CPC classification number: G06T5/50 ,  G06K9/00684 ,  G06T5/009 ,  G06T2207/10016 ,  G06T2207/10144 ,  G06T2207/20016 ,  G06T2207/20208 ,  G06T2207/20221 ,  G06T2207/30201

    Abstract: A method for processing high dynamic range (HDR) images by selecting preferred tone mapping operators and gamut mapping algorithms based on scene classification. Scenes are classified into indoor scenes, outdoor scenes, and scenes with people, and tone mapping operators and gamut mapping algorithms are selected on that basis. Prior to scene classification, the multiple images taken at various exposure values are fused into a low dynamic range (LDR) image using an exposure fusing algorithm, and scene classification is performed using the fused LDR image. Then, the HDR image generated from the multiple images are tone mapped into a LDR image using the selected tone mapping operator and then gamut mapped to the color space of the output device such as printer.

    Abstract translation: 一种通过选择基于场景分类的优选色调映射算子和色域映射算法来处理高动态范围（HDR）图像的方法。 场景分为室内场景，户外场景和人物场景，并在此基础上选择色调映射运算符和色域映射算法。 在场景分类之前，使用曝光融合算法将以各种曝光值拍摄的多张图像融合到低动态范围（LDR）图像中，并使用融合的LDR图像进行场景分类。 然后，使用所选择的色调映射算子将从多个图像生成的HDR图像进行色调映射到LDR图像中，然后将色域映射到诸如打印机的输出设备的颜色空间。

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