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    • 2. 发明申请
    • SYSTEM AND METHOD FOR FILTERING IMAGE NOISE
    • 用于过滤图像噪声的系统和方法
    • US20070003158A1
    • 2007-01-04
    • US11308953
    • 2006-05-29
    • CHIH-KUANG CHANGXiao-Chao SunLi Jiang
    • CHIH-KUANG CHANGXiao-Chao SunLi Jiang
    • G06K9/40
    • G06T5/002G06T5/003G06T5/20G06T2207/20192
    • A method for filtering image noise includes the steps of: acquiring an image; converting gray-scale values of the image and sharpening the image; defining axes perpendicular to image borders and selecting intersecting points between the axes and the image border; creating an object points set and inputting all the intersecting points into the object points set; fitting a geometric character according to the object points set; defining a tolerance threshold value; selecting an intersecting point from the object points set; calculating a distance from the selected intersecting point to the geometric character; determining whether the distance is larger than the defined tolerance threshold value; marking the selected intersecting point as a noise if the distance is larger than the defined tolerance threshold value; and deleting the selected intersecting point from the object points set. A related method is also disclosed.
    • 滤波图像噪声的方法包括以下步骤:获取图像; 转换图像的灰度值并锐化图像; 定义垂直于图像边界的轴线,并选择轴和图像边界之间的相交点; 创建对象点集并将所有交点输入到对象点集合中; 根据设置的对象点拟合几何字符; 定义公差阈值; 从对象点集合中选择一个相交点; 计算从所选交叉点到几何字符的距离; 确定距离是否大于限定的公差阈值; 如果所述距离大于限定的公差阈值,则将所选择的相交点标记为噪声; 并从对象点集中删除所选择的相交点。 还公开了相关方法。
    • 4. 发明授权
    • System and method for filtering image noise
    • 用于过滤图像噪声的系统和方法
    • US07697780B2
    • 2010-04-13
    • US11308953
    • 2006-05-29
    • Chih-Kuang ChangXiao-Chao SunLi Jiang
    • Chih-Kuang ChangXiao-Chao SunLi Jiang
    • G06K9/40
    • G06T5/002G06T5/003G06T5/20G06T2207/20192
    • A method for filtering image noise includes the steps of: acquiring an image; converting gray-scale values of the image and sharpening the image; defining axes perpendicular to image borders and selecting intersecting points between the axes and the image border; creating an object points set and inputting all the intersecting points into the object points set; fitting a geometric character according to the object points set; defining a tolerance threshold value; selecting an intersecting point from the object points set; calculating a distance from the selected intersecting point to the geometric character; determining whether the distance is larger than the defined tolerance threshold value; marking the selected intersecting point as a noise if the distance is larger than the defined tolerance threshold value; and deleting the selected intersecting point from the object points set. A related method is also disclosed.
    • 滤波图像噪声的方法包括以下步骤:获取图像; 转换图像的灰度值并锐化图像; 定义垂直于图像边界的轴线,并选择轴和图像边界之间的相交点; 创建对象点集并将所有交点输入到对象点集合中; 根据设置的对象点拟合几何字符; 定义公差阈值; 从对象点集合中选择一个相交点; 计算从所选交叉点到几何字符的距离; 确定距离是否大于限定的公差阈值; 如果所述距离大于限定的公差阈值,则将所选择的相交点标记为噪声; 并从对象点集中删除所选择的相交点。 还公开了相关方法。
    • 5. 发明授权
    • System and method for scanning edges of a workpiece
    • 扫描工件边缘的系统和方法
    • US07747080B2
    • 2010-06-29
    • US11616871
    • 2006-12-28
    • Chih-Kuang ChangXiao-Chao SunLi Jiang
    • Chih-Kuang ChangXiao-Chao SunLi Jiang
    • G06K9/48G06K9/00G06K9/46
    • G06T7/0004G06T7/12G06T2207/30164
    • An exemplary method for edge scan of an image is provided. The method includes: setting parameters of an image edge scan; setting parameters for scanning edges of the workpiece; obtaining an image of the workpiece; processing the image and designating a point in the image; searching a first edge point near the designated point in a clockwise direction, wherein there is at least one point adjacent to the first edge point whose color is different with the color of the first edge point; searching other edge points in the manner of searching the first edge point by utilizing a recursive method; calculating coordinates of initial points and end points of scan lines according to the parameters, and searching scanned points according to the initial points and end points on the image that has not been processed; scanning edges of the image based on the scanned points. A related system is also provided.
    • 提供了用于图像的边缘扫描的示例性方法。 该方法包括:设置图像边缘扫描的参数; 设置扫描工件边缘的参数; 获得工件的图像; 处理图像并指定图像中的一个点; 沿顺时针方向搜索指定点附近的第一边缘点,其中存在与第一边缘点相邻的至少一个点,其颜色与第一边缘点的颜色不同; 通过利用递归方法以搜索第一边缘点的方式搜索其他边缘点; 根据参数计算扫描线初始点和终点的坐标,并根据未处理的图像上的起始点和终点搜索扫描点; 基于扫描点扫描图像的边缘。 还提供了相关系统。
    • 6. 发明授权
    • System and method for merging images of an object
    • 用于合并对象图像的系统和方法
    • US07852354B2
    • 2010-12-14
    • US11768924
    • 2007-06-27
    • Chih-Kuang ChangXiao-Chao SunZhong-Kui Yuan
    • Chih-Kuang ChangXiao-Chao SunZhong-Kui Yuan
    • G09G5/00
    • G06T3/4038
    • A method for merging images of an object is provided. The method includes the steps of: (a) reading the images in a storage merging all the images to form a logic rectangle rcA, and calculating a reduction scale S of the logic rectangle rcA; (b) calculating a reduction scale S of the logic rectangle rcA; (c) generating a image rcC by reducing the logic rectangle rcA according to the reduction scale S and a coordinate mapping; (d) reading all the pixel rectangles rcB; (e) reducing each of the pixel rectangles rcB according to the reduction scale S to generate an image rcD; and (f) incorporating all the generated images rcD to the image rcC according to the coordinate mapping to form an overall image of the object. A related system is also disclosed.
    • 提供了一种用于合并对象的图像的方法。 该方法包括以下步骤:(a)读取合并所有图像的存储器中的图像,以形成逻辑矩形rcA,并计算逻辑矩形rcA的缩小比例S; (b)计算逻辑矩形rcA的缩小比例S; (c)通过根据缩小比例S和坐标映射减少逻辑矩形rcA来生成图像rcC; (d)读取所有像素矩形rcB; (e)根据缩小比例尺S减少每个像素矩形rcB以产生图像rcD; 和(f)根据坐标映射将所有生成的图像rcD合并到图像rcC中以形成对象的整体图像。 还公开了相关系统。
    • 8. 发明授权
    • System and method for processing a point cloud in a simulated three-dimensional space
    • 在模拟三维空间中处理点云的系统和方法
    • US07683900B2
    • 2010-03-23
    • US11025320
    • 2004-12-29
    • Chih-Kuang ChangXiao-Chao Sun
    • Chih-Kuang ChangXiao-Chao Sun
    • G06T15/00G06F19/00G06K9/00G01C9/00
    • G06T15/20G06T19/20G06T2210/56G06T2219/2012G06T2219/2016
    • A system for processing a point cloud in a simulated three-dimensional space includes an application server (1), client computers (3), and a database (5). The application server includes: a data acquiring module (10) for acquiring from the database point cloud data on an object measured by a measurement apparatus; a point cloud editing module (12) for editing the point cloud data to make the point cloud smooth and regular, and displaying different portions of the point cloud by using different colors; and a view changing device (11). The view changing device includes a position changing module (110) and a view changing module (111). The position changing module is used for changing a position of the point cloud in the three-dimensional space. The view changing module is used for changing a view to the point cloud in the three-dimensional space. A related method is also disclosed.
    • 用于处理模拟三维空间中的点云的系统包括应用服务器(1),客户端计算机(3)和数据库(5)。 应用服务器包括:数据获取模块(10),用于从数据库获取由测量装置测量的对象上的点云数据; 用于编辑点云数据以使点云平滑和规则的点云编辑模块(12),并通过使用不同的颜色显示点云的不同部分; 和视图改变装置(11)。 视角改变装置包括位置改变模块(110)和视图改变模块(111)。 位置改变模块用于改变三维空间中点云的位置。 视图更改模块用于将视图更改为三维空间中的点云。 还公开了相关方法。
    • 9. 发明授权
    • System and method for merging differently focused images
    • 用于合并不同聚焦图像的系统和方法
    • US07936948B2
    • 2011-05-03
    • US11757400
    • 2007-06-04
    • Chih-Kuang ChangXiao-Chao SunZhong-Kui Yuan
    • Chih-Kuang ChangXiao-Chao SunZhong-Kui Yuan
    • G06K9/32
    • G06T5/50G06T5/20G06T2207/30108
    • A system for merging differently focused images includes a computer for including a merge images program which includes a read module for reading a plurality of the differently focused images of an object disposed on a platform of a measuring machine, one image thereof as a first image (BMP), another image thereof as a next image (BMP0), and reading gray values of pixels and computing a gradient of each pixel; a determining module for determining whether the gradient (G) of each pixel in the BMP is less than the gradient (G0) of a corresponding pixel in the BMP0; and a merge images module for updating/replacing the gray value (P) and the G of the pixel in the BMP with the gray value (P0) and the G0 of the corresponding pixel in the BMP0 if the G of the pixel in the BMP is less than the G0 of the corresponding pixel in the BMP0. A related method is also provided.
    • 用于合并不同聚焦图像的系统包括用于包括合并图像程序的计算机,该合并图像程序包括用于读取设置在测量机的平台上的对象的多个不同聚焦图像的读取模块,其一个图像作为第一图像( BMP),作为下一图像(BMP0)的另一图像,并且读取像素的灰度值并计算每个像素的梯度; 确定模块,用于确定所述BMP中每个像素的梯度(G)是否小于所述BMP0中相应像素的梯度(G0); 以及合并图像模块,用于如果BMP中的像素的G具有BMP0中的相应像素的灰度值(P0)和G0,更新/替换BMP中的像素的灰度值(G) 小于BMP0中相应像素的G0。 还提供了相关的方法。