Abstract: A measurement machine includes an optical lens and a spectral confocal sensor. An electronic device adjusts a zoom ratio of the lens to be a maximum ratio, and calculates X, Y, Z coordinate differences between the lens center and the sensor center. The electronic device calibrates the X, Y coordinate differences at least twice, to obtain calibrated X, Y coordinate differences. The X, Y differences are replaced by the calibrated X, Y coordinate differences when the calibrated X, Y coordinate differences satisfy first predetermined requirements. The electronic device further calibrates the Z coordinate difference at least twice to obtain a calibrated Z coordinate difference. The Z coordinate difference is replaced by the calibrated Z coordinate difference when the calibrated Z coordinate difference satisfies second predetermined requirements.

Abstract: A computing device reads an entire image of an object. The entire image is spliced by a plurality of part images. A user selects an area on the entire image. The computing device determines a first number of first pixel points between a center point of the selected area and a center point of each covered image. The converted images are part images that the selected area covers. The coordinate values of the center point of the selected area are calculated according to the first number of pixel points and a size of each pixel point of the entire image. The computing device calculates coordinate values of each point of a selected area according to the size of each pixel point and the coordinate values of the center point of the selected area.

Abstract: In a method to measure widths of measured parts placed on a platform, a computing device connects to one or more charge coupled device (CCD) cameras. The method controls each of the CCD cameras to capture a digital image from a measured part that is placed near the CCD cameras, obtains the digital image of the measured part from each of the CCD cameras in a predefined order, and obtains a binary expression from the digital image of the measured part. When the measured part is placed in a correct position on the platform, the method further obtains three points from an upper boundary of the measured part in the binary expression and another three points from a lower boundary of the measured part in the binary expression, and calculates width of the measured part according to the obtained six points.

Abstract: Analyzation of image noise using an electronic device. The electronic device and method operating thereon can obtain an initial image captured by an image capturing device of an image measuring machine using an image capturing card of the electronic device when a lighting device of the image measuring machine is shut down, and magnifies an initial gray value of each pixel in the initial image to obtain an updated image. The electronic device and method operating thereon can further determine whether image noise in the updated image complies with a preset condition by analyzing an updated gray value of each pixel in the updated image, and displays the updated image and analysis results on a display device of the electronic device.

Abstract: In a method for processing a point cloud using a computing device, a straight line fitted by the point cloud comprising border points is determined as a benchmark line. An inflection point in the point cloud of the benchmark line is determined. If the vertical distance of the inflection point is not greater than the preset filtration value, needless border points in the point cloud are deleted and a remainder point cloud is obtained. If the vertical distance between the inflection point and the benchmark line is greater than a filtration value, the point cloud is divided into two sub-point clouds, and the one sub-point cloud having border points less than the preset number is deleted, and the other sub-point cloud is set as a remainder point cloud.

Abstract: In a method for identifying border lines of elements on an image of an object using a computing device, a Dynamic Link Library (DLL) name and one or more measuring parameters are received from the computing device. A DLL is obtained according to the received DLL name. Measuring functions of the obtained DLL are provided for selection. A constructed function of the DLL is obtained according to the number and types of the received measuring parameters to transmit the received measuring parameters to a selected measuring function. Coordinates of points on the image are computed according to the received measuring parameters using the selected measuring function, and a border line of an element on the image is fitted according to the coordinates of the points.

Abstract: In a method for calibrating a star probe of an image measuring machine, the star probe includes one or more probe heads. Probe configuration information for the star probe is configured when there is no probe configuration file of the star probe stored in a storage device of the image measuring machine, and one of the probe heads to be calibrated is selected from the star probe. The method calibrates a radius value of the selected probe head, and calibrates the deviation between the center point of the selected probe head and the focus of the camera lens. The method further generates a star probe model of the star probe according to the probe configuration information and the probe calibration information, and displays the star probe model of the star probe on a display device of the image measuring machine.

Abstract: In a method of determining border points for measuring an image of an object using a computing device, grayscale values of pixel points in an image being measured are acquired, and definition values of the pixel points are computed according to the grayscale values. A line which intersects with the image being measured is constructed, and the definition values of the pixel point values in the lines are obtained. A location range of a border point of the image being measured is determined according to the definition values of the pixel point values in the line, and the border point is selected from the location range. A border line of the image being measured is fitted using the border points.

Abstract: In a method for scanning edges of an object using a computing device, the computing device is connected to an image measuring machine including an image capturing device. A start point, an end point, a scan direction, and a scan distance interval are set. Scan points on the edges of the object are determined. For each scan point, the computing device aims the image capturing device at the scan point, controls the image capturing device to capture images of the object at different depths, and records focal points. Definition values of the images are calculated and an image with a highest definition value is determined. A focal point corresponds to the image with the highest definition value and so coordinates of the scan point are determined. Scanned edges of the object are formed based on all the scan points.

Abstract: An electronic device connected to a measurement machine is installed with an image measurement program. The electronic device records detailed information in relation to a new language file added to a template file provided by the image measurement program, and creates one or more executable files for the image measurement program based on the template file. When the image measurement program is started, the electronic device adds the new language to a language selection menu of a user interface of the image measurement program by executing the one or more executable files, displays all languages available to the image measurement program under the language selection menu of the user interface, and after selection and displays all information in a user-selected language.

Abstract: Analyzation of image noise using an electronic device. The electronic device and method operating thereon can obtain an initial image captured by an image capturing device of an image measuring machine using an image capturing card of the electronic device when a lighting device of the image measuring machine is shut down, and magnifies an initial gray value of each pixel in the initial image to obtain an updated image. The electronic device and method operating thereon can further determine whether image noise in the updated image complies with a preset condition by analyzing an updated gray value of each pixel in the updated image, and displays the updated image and analysis results on a display device of the electronic device.

Abstract: A measurement machine includes an optical lens and a spectral confocal sensor. An electronic device adjusts a zoom ratio of the lens to be a maximum ratio, and calculates X, Y, Z coordinate differences between the lens center and the sensor center. The electronic device calibrates the X, Y coordinate differences at least twice, to obtain calibrated X, Y coordinate differences. The X, Y differences are replaced by the calibrated X, Y coordinate differences when the calibrated X, Y coordinate differences satisfy first predetermined requirements. The electronic device further calibrates the Z coordinate difference at least twice to obtain a calibrated Z coordinate difference. The Z coordinate difference is replaced by the calibrated Z coordinate difference when the calibrated Z coordinate difference satisfies second predetermined requirements.

Abstract: In a method for identifying border lines of elements on an image of an object using a computing device, a Dynamic Link Library (DLL) name and one or more measuring parameters are received from the computing device. A DLL is obtained according to the received DLL name. Measuring functions of the obtained DLL are provided for selection. A constructed function of the DLL is obtained according to the number and types of the received measuring parameters to transmit the received measuring parameters to a selected measuring function. Coordinates of points on the image are computed according to the received measuring parameters using the selected measuring function, and a border line of an element on the image is fitted according to the coordinates of the points.

Abstract: In a method for scanning edges of an object using a computing device, the computing device is connected to an image measuring machine including an image capturing device. A start point, an end point, a scan direction, and a scan distance interval are set. Scan points on the edges of the object are determined. For each scan point, the computing device aims the image capturing device at the scan point, controls the image capturing device to capture images of the object at different depths, and records focal points. Definition values of the images are calculated and an image with a highest definition value is determined. A focal point corresponds to the image with the highest definition value and so coordinates of the scan point are determined. Scanned edges of the object are formed based on all the scan points.

Abstract: In a method for processing a point cloud using a computing device, a straight line fitted by the point cloud comprising border points is determined as a benchmark line. An inflection point in the point cloud of the benchmark line is determined. If the vertical distance of the inflection point is not greater than the preset filtration value, needless border points in the point cloud are deleted and a remainder point cloud is obtained. If the vertical distance between the inflection point and the benchmark line is greater than a filtration value, the point cloud is divided into two sub-point clouds, and the one sub-point cloud having border points less than the preset number is deleted, and the other sub-point cloud is set as a remainder point cloud.

Abstract: A method generates a measurement report of an object using a computing device. The method obtains measurement data of feature elements of the object, processes the measurement data to obtain output data, and outputs the measurement data of the output data to the measurement report according to a report output way corresponding to a report format, wherein the report format is received from a selection of the user. The measurement report is stored in a storage device of the computing device, or displayed on a display device that is connected to the computing device.

Abstract: In a method for calibrating a star probe of an image measuring machine, the star probe includes one or more probe heads. Probe configuration information for the star probe is configured when there is no probe configuration file of the star probe stored in a storage device of the image measuring machine, and one of the probe heads to be calibrated is selected from the star probe. The method calibrates a radius value of the selected probe head, and calibrates the deviation between the center point of the selected probe head and the focus of the camera lens. The method further generates a star probe model of the star probe according to the probe configuration information and the probe calibration information, and displays the star probe model of the star probe on a display device of the image measuring machine.

Abstract: A computing device reads an entire image of an object. The entire image is spliced by a plurality of part images. A user selects an area on the entire image. The computing device determines a first number of first pixel points between a center point of the selected area and a center point of each covered image. The converted images are part images that the selected area covers. The coordinate values of the center point of the selected area are calculated according to the first number of pixel points and a size of each pixel point of the entire image. The computing device calculates coordinate values of each point of a selected area according to the size of each pixel point and the coordinate values of the center point of the selected area.

Abstract: An electronic device connected to a measurement machine is installed with an image measurement program. The electronic device records detailed information in relation to a new language file added to a template file provided by the image measurement program, and creates one or more executable files for the image measurement program based on the template file. When the image measurement program is started, the electronic device adds the new language to a language selection menu of a user interface of the image measurement program by executing the one or more executable files, displays all languages available to the image measurement program under the language selection menu of the user interface, and after selection and displays all information in a user-selected language.