Abstract: In a focus identification method for identifying different focuses of an object, discrete image data is acquired from captured images of an object. The images are captured by a charge coupled device (CCD) in motion of a measurement machine at a predetermined time period. The discrete image data includes definitions of the images and Z-coordinates of the CCD when capturing the images. Maxima and minima of the discrete image data are computed to establish intervals within the discrete image data. The intervals are selected one by one, and a curve is fitted according to the discrete image data at the selected interval. A peak value of the fitted curve is computed as one of focuses of the object when a goodness of fit of the fitted curve meets a predetermined criterion.

Abstract: A measuring machine includes a measuring device and a protective cover covering the measuring device. The measuring device is configured to measure parameters of a work piece. The measuring device includes a control box, a supporting board, a light ring configured to illuminate the work piece, and a camera module configured to obtain images of the work piece. The cover is made of non-transparent material. A first side of the cover defines a cut-out and a first slot. A second side of the cover opposite to the first side defines a second slot corresponding in size and alignment with the first slot. One side of the control box is exposed from the cut. Two ends of the supporting board are positioned on the first and second slots and exposed from the first and second slots.

Abstract: A scanner obtains point-cloud data of adjoining parts of a product. A computing device reads two point-clouds from the point-cloud data, fits two or more lines according to the two point-clouds, selects two lines that have the same ascending direction from the two or more lines, and creates a two-dimensional coordinates system base on the two selected lines. The computing device determines a highest point in each of the two point-clouds based on distances from each point in either of the point-clouds to a corresponding selected line, and determines two nearest points in the two point-clouds. A difference between Y coordinates of the two highest points is determined as a gap-height of two adjoining parts of the product, and a difference between X coordinates of the two nearest points is determined as a gap-width between two adjoining parts.

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: In a method for determining ricochet vectors of a probe of a coordinate measuring machine (CMM) using a computing device, the computing device sets an approach distance between the probe and a manufactured object. Coordinates of a center of the probe and an initial vector of the probe for each measurement point of the manufactured object are obtained when the probe is manually operated to measure the manufactured object. A measurement element of the manufactured object is fit according to all measurement points of the manufactured object. For each measurement point, an approach point of the manufactured object is calculated, a position relation between the approach point and the measurement element of the manufactured object is determined, and a ricochet vector of the probe is calculated according to the position relation.

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 measuring device and method is used to select focusing points on an object. A CCD of the measuring device is positioned at the top of an initial focusing range, then moves to the bottom of the initial focusing range at a first speed to capture first images of the object. Image points corresponding to each focusing point in the first images are identified to compute coordinates of a first focal point of each focusing point. The initial focusing range is updated according to Z-coordinates of the first focal points. The CCD is positioned at the bottom of the updated focusing range, then, moves to the top of the updated focusing range at a second speed to capture second images of the object. Image points corresponding to each focusing point in the second images are identified to compute coordinates of a second focal point of each focusing point.

Abstract: In a method of a computing device for calibrating light channels, one or more channel options of an illumination selecting unit of the computing device are selected to turn on the one or more light channels of a light source device. A camera unit captures a first image of the light source device. A zone and a serial number of each light channel are marked on the first image. Each channel option of the illumination selecting unit is eliminated. The camera unit captures a second image of the light source device when a light channel is turned off. The first image and the second image are compared, and a correlation between the light channel that is turned off and the eliminated channel option is determined. The serial numbers of the channel options are modified and remapped according to correlations between each light channel and each channel option.

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: An image measuring system includes an interface module, an automatic measuring module, and an outputting module. The interface module is configured to display an image of a workpiece. The automatic measuring module finds features on the image of the workpiece, constructs a coordinate system according to the searched features, and measures a distance from each point on the workpiece to the constructed coordinate system. The outputting module compares the distance with a predetermined tolerance range and outputs the distance and a compared result to the interface module.

Abstract: A measuring machine includes a measuring device and a protective cover covering the measuring device. The measuring device is configured to measure parameters of a work piece. The measuring device includes a control box, a supporting board, a light ring configured to illuminate the work piece, and a camera module configured to obtain images of the work piece. The cover is made of non-transparent material. A first side of the cover defines a cut-out and a first slot. A second side of the cover opposite to the first side defines a second slot corresponding in size and alignment with the first slot. One side of the control box is exposed from the cut. Two ends of the supporting board are positioned on the first and second slots and exposed from the first and second slots.

Abstract: In a method for regulating coordinates of a probe measurement system using an electronic device, the method determines a first center of a reference object using a probe measurement system, and a second center of the reference object using an image measurement system. The method further determines regulation values between the probe measurement system and the image measurement system by calculating difference values between coordinates of the first center and the second center of the reference object, and stores the regulation values in a storage device of the electronic device.

Abstract: A computing device is electronically connected to a measurement machine and a controller. The controller is connected to a sensor installed on the measurement machine. The computing device receives spectral signal data sent from the controller and generates an intensity distribution diagram according to the spectral signal data. Furthermore, the computing device sends control commands to the measurement machine, to adjust a position of the sensor on the measurement machine according to variation of a peak value of a wave in the intensity distribution diagram.

Abstract: In an electronic device, an image point A on an image of an object is selected. A spectral confocal sensor is controlled to move to a position above a measuring point A? on the object, where the measuring point A? corresponds to the image point A, and a Z-coordinate of the measuring point A? is computed using the spectral confocal sensor. A focal position of the measuring point A? is computed according to the Z-coordinate of the measuring point A?, and a CCD lens is controlled to move to the focal position. The Z-coordinate of the measuring point A? is stored into a storage unit of the electronic device.

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.