Abstract: A positioning system and method for focusing a charge coupled device (CCD) lens on a selected surface of an object to be measured is provided. The positioning system and method moves the CCD lens downwards to approximate an estimate Z-axis coordinate of the CCD lens, and moves the CCD lens upwards to find an accurate Z-axis coordinate of the CCD lens according to the selected surface of the object. The system and method further moves the CCD lens to a position corresponding to the accurate Z-axis coordinate to focus the CCD lens on the selected surface.

Abstract: An image conversion system and method read image data of a two-dimensional image from a storage system. A data format, an image size, a pixel value of each pixel, and pixel coordinates of each pixel are determined according to the image data. A gray value of each pixel is calculated. According to the pixel coordinates and gray value of each pixel, a three-dimensional mesh is generated and then decorated, so that a three-dimensional image is obtained.

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 positioning system and method for focusing a charge coupled device (CCD) lens on a selected surface of an object to be measured is provided. The positioning system and method moves the CCD lens downwards to approximate an estimate Z-axis coordinate of the CCD lens, and moves the CCD lens upwards to find an accurate Z-axis coordinate of the CCD lens according to the selected surface of the object. The system and method further moves the CCD lens to a position corresponding to the accurate Z-axis coordinate to focus the CCD lens on the selected surface.

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 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 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 and system for computing and displaying a roundness error of an object specifies different colors that respectively represents an error range of points. The method and system receives a point cloud of the object and fits a circle based on the point cloud. The method and system computes an error of each point in the point cloud by computing a distance between the each point and the circle, colorizes the points in the point cloud according to the errors and the specified colors, and generates and outputting a graphic roundness error analysis report.

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 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-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: 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.