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 precision testing method of an optical lens using a computing device, the computing device is connected to an imaging system. The computing device controls the imaging system to generate an image of an object according to light rays reflected from the object and collected by the optical lens. A dimension of the object is measured from the image. A maximum value and a minimum value of the dimension of the object are determined. A difference between the maximum value and the minimum value is calculated. According to the difference, it is determined whether the optical lens agrees with a precision requirement.
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:
An electronic device and a method for testing the light intensity of the electronic device include setting a colorbar comprising a plurality of colors corresponding to different gray values. The testing method further includes read bitmap data of read image upon the condition that the read image is a gray image, and recording a pixel number corresponding to each gray value. The method further includes drawing a relationship curve between the plurality of gray values and corresponding pixel numbers and recoloring the gray image according to the plurality of colors in the colorbar corresponding to the gray values of each pixel in the gray image, and displaying the relationship curve and a recolored gray image on a display.
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.
Abstract:
A focus assisting device is configured to assist a vision measuring system to focus on an object with smooth low-contrast surfaces. The focus assisting device includes a plurality of transparent portion and a plurality of nontransparent portion.
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 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 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 computing device connects with a vision measuring machine (VMS). Then the computing device generates a one time password (OTP). A size of the OTP, the OTP are stored in a predefined file. The computing device obtains a size of measurement program codes of the VMS. The size of the OTP and the size of the measurement program codes are stored in the predefined file. The measurement program codes are encrypted by the OTP. If the measurement data includes image data of an object which is measured by the VMS, the computing device stores the encrypted program codes, a type of the image data, image data, and a size of the image data in the predefined file.