Method and system for capturing an image for wound assessment

    公开(公告)号:US10070049B2

    公开(公告)日:2018-09-04

    申请号:US14877352

    申请日:2015-10-07

    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.

    Document image compression method and its application in document authentication
    2.
    发明授权
    Document image compression method and its application in document authentication 有权
    文档图像压缩方法及其在文档认证中的应用

    公开(公告)号:US09542752B2

    公开(公告)日:2017-01-10

    申请号:US14951701

    申请日:2015-11-25

    Inventor: Yibin Tian Wei Ming

    Abstract: A method for compressing a bi-level document image containing text is disclosed. The document image is segmented into symbol images each representing a letter, numeral, etc. in the document. The symbol images are classified into a plurality of classes, each class being associated with a template image and a class index. Classification is done by comparing each symbol to be classified with template of existing classes, using a number of image features including zoning profiles, side profiles, topology statistics, and low-order image moments. These image features are compared using a tolerance based method to determine whether the symbol matches the template. After classification, certain classes that have few symbols classified into them may be merged with other classes. In addition, the template images of the classes are down-sampled, where the final sizes of the template images are dependent on the likelihood of confusion of the template with other templates.

    Abstract translation: 公开了一种用于压缩包含文本的双层文档图像的方法。 文档图像被分割成符号图像,每个表示文档中的字母,数字等。 符号图像被分类为多个类,每个类与模板图像和类索引相关联。 通过使用许多图像特征(包括分区轮廓,侧面轮廓,拓扑统计和低阶图像力矩)将每个要分类的符号与现有类别的模板进行比较来进行分类。 使用基于公差的方法比较这些图像特征以确定符号是否与模板匹配。 分类后,分类为其中几个符号的某些类可能会与其他类合并。 此外,类的模板图像被采样,其中模板图像的最终尺寸取决于模板与其他模板混淆的可能性。

    Word segmentation for document image using recursive segmentation
    3.
    发明授权
    Word segmentation for document image using recursive segmentation 有权
    使用递归分割的文档图像的分词

    公开(公告)号:US09384409B1

    公开(公告)日:2016-07-05

    申请号:US14609331

    申请日:2015-01-29

    Inventor: Wei Ming

    CPC classification number: G06K9/348 G06K9/00463

    Abstract: A word segmentation method uses a recursive technique to segment a text line image into word segments. Spacing segments of the line are obtained; an initial word segmentation is performed to classify the spacing segments based on their lengths into candidate character spacing segments and candidate word spacing segments. The initial segmentation result is evaluated to determine whether the candidate character spacing segments still have a bimodal or multi-modal distribution or a large spread in the distribution, or whether the line contains long words and too few words. If the conditions indicate that the initial segmentation is inadequate, another classification step is performed for the candidate character spacing segments to further classify them into new candidate character spacing segments and new candidate word spacing segments. The process is repeated until the word segmentation is deemed adequate based on the evaluation.

    Abstract translation: 字分割方法使用递归技术将文本行图像分割成字段。 获得行的间隔段; 执行初始字分割以将间隔段基于其长度分类为候选字符间隔段和候选字间隔段。 评估初始分割结果以确定候选字符间隔段是否仍然具有双模或多模态分布或分布中的大扩展,或者该线是否包含长字和太少的单词。 如果条件表明初始分割不足,则对候选字符间隔段执行另一分类步骤,以进一步将它们分类为新候选字符间隔段和新候选字间隔段。 重复该过程,直到基于评估的词分割被认为是足够的。

    Portable 3D scanning system for 3D surface reconstruction

    公开(公告)号:US10473919B2

    公开(公告)日:2019-11-12

    申请号:US15859246

    申请日:2017-12-29

    Abstract: A 3D scanning system includes a base stand, two circular arc shaped support tracks, a mounting assembly for mounting the support tracks to the base stand with one or more degrees of rotational freedom, two sensor holders mounted on the respective support track for holding two depth sensors, and a drive mechanism for driving the sensor holders to move along the respective support tracks. The mounting assembly supports relative rotation of the two support tracks and pitch and roll rotations of the support tracks. To perform a 3D scan, a stationary object is placed in front of the two depth sensors. The sensor holders are moved along the respective support tracks to different positions to obtain depth images of the objects from different angles, from which a 3D surface of the object is constructed. Prior to scanning, the two depth sensors are calibrated relative to each other.

    Identification of emphasized text in electronic documents

    公开(公告)号:US10169650B1

    公开(公告)日:2019-01-01

    申请号:US15639831

    申请日:2017-06-30

    Inventor: Wei Ming

    Abstract: To identify emphasized text, bounding boxes are based on clusters resulting from horizontal compression and horizontal morphological dilation. The bounding boxes are processed to determine if any contain words or characters in bold. A bounding box is eliminated based on a comparison of its density and an average density across all bounding boxes. If its density is greater, text elements within the bounding box are evaluated to determine whether the text element is bold.

    METHOD FOR RECOGNIZING TABLE, FLOWCHART AND TEXT IN DOCUMENT IMAGES

    公开(公告)号:US20180005029A1

    公开(公告)日:2018-01-04

    申请号:US15199298

    申请日:2016-06-30

    Inventor: Wei Ming

    CPC classification number: G06K9/00463 G06K9/4647

    Abstract: A method for recognizing a binary document image as a table, pure text, or flowchart includes calculating a side profile of the image for each of the four sides, calculating a boundary removal size N corresponding to each side based on widths of lines or strokes closest to that side, and for each side, removing a boundary of size N from the document image, and re-calculating the side profile for each side after the removal. Then, based on a comparison of the side profiles and the re-calculated side profiles, the input document image is recognized as a table if all side profiles change from smooth to non-smooth, as pure text if the side profile changes are small, and as a flowchart if the original side profiles contain multiple sharp changes and wide flat regions and if the side profile changes significantly in the previously wide flat regions.

    Method and system for analyzing exam-taking behavior and improving exam-taking skills

    公开(公告)号:US10037708B2

    公开(公告)日:2018-07-31

    申请号:US14230577

    申请日:2014-03-31

    Inventor: Wei Ming Yibin Tian

    CPC classification number: G09B7/00

    Abstract: A method, a computer program product, and a system for analyzing exam-taking behavior and improving exam-taking skills are disclosed, the method includes obtaining a student answering sequence and timing to an examination having a series of questions; comparing the student answering sequence and timing with results from a statistic analysis of the examination obtained from a plurality of students; and identifying an abnormality in the student answering sequence and timing according to the comparison.

    METHOD AND SYSTEM FOR CAPTURING IMAGES FOR WOUND ASSESSMENT WITH MOISTURE DETECTION

    公开(公告)号:US20180192029A1

    公开(公告)日:2018-07-05

    申请号:US15394846

    申请日:2016-12-30

    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.

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