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: A system and method for measuring a border of an image of an object includes setting measurement parameters, selecting a start point, an end point, and a image capture direction, and marking isS=true, moving a CCD lens to a current point, capturing an image by the CCD lens, and obtaining sequential border points of the image. The method further includes determining if the sequential border points are fuzzy, performing an automatic focus function if the sequential border points are fuzzy, or further determining the border of the object has been completely captured if the sequential border points are clear, calculating accurate border points if the border of the object has not been completely captured, and determining a new start point to capture the next image of the object.

Abstract: A computer is connected to a measurement machine. The computer receives an area selected by a user of a three-dimensional model of a workpiece which is put on the measurement machine. A first size of the selected area is calculated corresponding to resolution values of various images of the workpiece captured by a charge-coupled device (CCD). The computer calculates a number of the images which are necessary to create a complete bitmap, of a certain second size, by splicing together the various images. Coordinate values of the pixel points of the various images are calculated according to a splicing type desired and set by the user. The computer puts the pixel points into a mapping relationship according to the coordinate values of the pixel points, to create the complete bitmap.

Abstract: A system and method for measuring a border of an image of an object includes setting measurement parameters, selecting a start point, an end point, and a image capture direction, and marking isS=true, moving a CCD lens to a current point, capturing an image by the CCD lens, and obtaining sequential border points of the image. The method further includes determining if the sequential border points are fuzzy, performing an automatic focus function if the sequential border points are fuzzy, or further determining the border of the object has been completely captured if the sequential border points are clear, calculating accurate border points if the border of the object has not been completely captured, and determining a new start point to capture the next image of the object.

Abstract: An electronic device includes an image processing system to binarize a gray-scale image to generate a corresponding binary image in the electronic device. Binarization of the gray-scale image by the image processing system includes generation of a binarization array to store binarization threshold values that each corresponds to a pixel of the gray-scale image, and binarization of the gray-scale image according to all binarization threshold values stored in the binarization array.

Abstract: A computer-implemented method for adjusting light intensity of light sources of an image measuring machine in measurement of a surface image of an object includes obtaining the surface image of the object, setting one light source to be adjusted and adjusting a light intensity of the light source according to an adjusting mode. The method further includes computing an optimum light intensity level, adjusting a light intensity to the optimum light intensity level to obtain an optimum surface image of the object, and storing the optimum surface image and the optimum light intensity level into a storage system.

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: A computer-implemented method for adjusting backlight in measurement of a profile image of an object includes setting a light source of an image measuring machine to an original intensity level, obtaining the profile image of the object laid on the image measuring machine, and performing a mean filter processing and a binary image processing on the profile image. The method further includes setting intensity variables to adjust backlight intensity of the light source, uses the intensity variables to calculate an optimum intensity level of the backlight intensity utilizing an iterative method, and adjusting the backlight intensity of the light source to the optimum intensity level to obtain an optimum profile image of the object.

Abstract: A system and method for measuring a border of an image of an object includes setting measurement parameters, selecting a start point, an end point, and a image capture direction, and marking isS=true, moving a CCD lens to a current point, capturing an image by the CCD lens, and obtaining sequential border points of the image. The method further includes determining if the sequential border points are fuzzy, performing an automatic focus function if the sequential border points are fuzzy, or further determining the border of the object has been completely captured if the sequential border points are clear, calculating accurate border points if the border of the object has not been completely captured, and determining a new start point to capture the next image of the object.

Abstract: A method for finding edge points of an object is disclosed. The method includes receiving an electronic image of an object, selecting one or more edge points in the image of the object, creating an image template for each edge point in the object image. The method further includes receiving a command to measure a second object of the same kind as the object and obtaining a measured object image, reading the image templates for the same kind of object from the storage device, and finding a matched sub-image to each image template from the measured object image according to an image matching algorithm, obtaining a central point of each matched sub-image and displaying coordinates of the central point of the matched sub-image.

Abstract: A computer and a method for generation commands include loading a data exchange format (DXF) image, and selecting a measurement tool and selecting a DXF feature of the DXF image. The generation commands method further includes generating an edge detection command of the selected DXF feature according to the measurement tool when the size of the selected DXF feature is not larger than the size of an image area. And an edge detection command corresponding to each of the reselected measurement tools is generated when the size of the selected DXF feature is larger than the size of the image area.

Abstract: A focus apparatus comprises a first illuminator for emitting light onto an object, an optical apparatus, an image capture apparatus for receiving an image of the object through the optical apparatus, and converting the image into electronic signals, a spectroscope, a coaxial light apparatus and a patterned light apparatus. The coaxial light apparatus and the patterned light apparatus are perpendicularly mounted to a spectroscope. The coaxial light apparatus is perpendicular to the patterned light apparatus. The spectroscope refracts patterned light from the patterned light apparatus and coaxial light from the coaxial light apparatus to the optical apparatus.

Abstract: A method for correcting an image of a physical object first captures images of a circle and a rectangle set of a calibration plate placed on a measurement machine, and determines correction data using the images of the circle and the rectangle. The method further corrects the image of the physical object captured by the measurement machine according to the correction data, and displays a corrected image of the physical object.

Abstract: A computer-based method for adjusting luminance of a light-emitting device on image measuring machine is provided. The method includes reading a model definition curve and model coordinates of an object and a charge couple device (CCD). The method further includes locating the object and the CCD to positions on the image measuring machine, and capturing a digital image of the object. Furthermore, the method includes adjusting a resistance of the light-emitting device to ensure an ordinate deviation corresponding to each abscissa value between a new definition curve and the model definition curve falls in an allowable deviation range. A related system is also provided.

Abstract: A method for matching images is disclosed. The method includes selecting a template image and a target image from a batch of images and sampling the template image so as to obtain a template-sampled image, and sampling the target image so as to obtain a target-sampled image, wherein the sampling of both the template image and the target image is according to a sample interval. The method further includes matching the template-sampled image and the target-sampled image, and matching the template image and the target image, if the template-sampled image and the target-sampled image are matched successfully.

Abstract: A computer-implemented method for analyzing impurities of an object is provided. The method includes selecting a region from an image of the object, pre-treating the region to calculate a threshold, processing the region and deleting the points from an outer layer of the region. The method further includes setting a starting point and search directions, determining a point before a first boundary point as an origin of the region and searching the next boundary points if the first boundary point has been searched. The method also includes searching all the boundary points in the region, forming an impurity if the last boundary point coincides with the first boundary point, seed filling the impurity and calculating an area value, and comparing the area value with an allowable area value to determine whether the impurity satisfies impurity specifications.

Abstract: An image measuring device comprises a storage, a processor, an acquiring module, a positioning module and a determining module. The acquiring module acquires an image of a production object by scanning the production object. The positioning module positions the image of the production object in a coordinate plane according to predefined parameters and acquiring the edge of the image of the production object. The determining module determines whether the difference between the positioned image and the predefined parameters is over a tolerance, wherein the acquiring module, the positioning module and the determining module are stored in the storage and controlled by the processor.

Abstract: A computer and a method for generation commands include loading a data exchange format (DXF) image, and selecting a measurement tool and selecting a DXF feature of the DXF image. The generation commands method further includes generating an edge detection command of the selected DXF feature according to the measurement tool when the size of the selected DXF feature is not larger than the size of an image area. And an edge detection command corresponding to each of the reselected measurement tools is generated when the size of the selected DXF feature is larger than the size of the image area.

Abstract: A focus apparatus comprises a first illuminator for emitting light onto an object, an optical apparatus, an image capture apparatus for receiving an image of the object through the optical apparatus, and converting the image into electronic signals, a spectroscope, a coaxial light apparatus and a patterned light apparatus. The coaxial light apparatus and the patterned light apparatus are perpendicularly mounted to a spectroscope. The coaxial light apparatus is perpendicular to the patterned light apparatus. The spectroscope refracts patterned light from the patterned light apparatus and coaxial light from the coaxial light apparatus to the optical apparatus.

Abstract: A system and method for calculating an observational error of a coordinate measuring machine includes receiving measuring parameters input by a user, obtaining observational errors of the ruler from a storage system, and identifying the zero mark of the ruler. A direction of the ruler is adjusted to be substantially parallel to the measuring direction of the measuring parameters, controlling the coordinate measuring machine to measure the ruler according to the measuring parameters, obtaining measured data. Observational error of the coordinate measuring machine is calculated according to the measured data, which is stored in the storage system.