OpenGL can correctly simulate real photogrammetric imaging by setting reasonable parameters. It’s an important tool to achieve the simulation of real three-dimensional object or scene imaging to two-dimensional CCD (Charge-coupled Device) plane. However, the images are lack of reliability verify. To solve this problem, we propose a method that can verify OpenGL simulated images on the basis of analyzing OpenGL image-forming principle. Firstly, the checkerboard images of different positions are taken by real camera and intrinsic and external parameters are calibrated. Subsequently, we use OpenGL to produce the same intrinsic and external parameters of checkerboard image by setting correct parameters. Finally, the simulated and real images’ matching point pair RMSE value is calculated based on Harris operator. By comparison, the validity and reliability of OpenGL simulated images are verified by some numerical simulation.

Research on Verification Method of OpenGL Simulated Image Based on Camera Calibration

Defects in pipeline welds are fatal for pipelines, considering that weld negatives need to be electronically preserved due to high preservation costs, easy damage, etc., and that most of the weld defects are judged with the help of intelligent computer recognition algorithms, the assessment of the quality of weld negatives after digitization is critical. At present, domestic and foreign research on the method of weld negative image quality assessment is still immature, especially after the processing of the image details is not clear, and the low quality of the image will directly affect the accuracy of the weld negative defect identification and determination. Therefore, this paper proposes a reference-free image quality assessment algorithm based on analytic sparse representation for this problem, which objectively evaluates the image quality of weld negatives, helps identify and judge weld defects, and has a vital practical role in guaranteeing the regular operation of pipelines.

Research on Image Quality Assessment Methods for Weld Negatives

Digital image processing techniques has widely used in several research field,especially in aviation establishing.This paper introduces characteristics of MATLAB language and classical image processing technique realized by using image processing toolbox to introduce image processing through tool functions and algorithms. It is applied to pre-processing operations for a chip photograph, by experiment it proved that MATLAB possesses powerful capability to matrix operation and image processing. MATLAB can be used to simulation tests, that will improve efficiency of experiment greatly.

Digital Image Processing Technique based on MATLAB Toolbox

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Digital Image Processing Technique based on MATLAB Toolbox