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Study on the Design of Coded Target and Information Processing in Close-Range Photogrammetry

Author: ChuWanXiu
Tutor: DaiHuiLiang
School: Donghua University
Course: Mechanical Manufacturing and Automation
Keywords: Close Range Photogrammetry Encoding flag Image processing Pattern Recognition Correction model
CLC: P23
Type: Master's thesis
Year: 2008
Downloads: 270
Quote: 1
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Abstract


Digital close-range photogrammetry has gradually become an industrial field measurement technique is best used in the reverse engineering in recent years, is widely used in automotive body and interior and exterior aircraft outside the body and truss, due to its good scalability and powerful features. large antenna such as product design and manufacturing process. With the large size and structure of complex objects measuring task, existing measurement system encoding flag (also known as the encoding flag) the total number of shortcomings have restricted the overall measurement Advantages. Extended coded number and improve the ability of data processing has become an urgent need to ensure measurement accuracy and efficiency. In this paper, a coding logo design ideas and decoding strategies, proposed a new coding design improvements and decoding algorithms, its automatic detection process in image processing, image analysis, information extraction processing technology, and the actual The problems in the processing of amendments to the program and the correction model. First of all, the status quo of the close-range industrial photogrammetry is introduced in the analysis on the basis of the characteristics of existing points distributed and two concentric rings encoding flag points, a new encoding flag design. Program as a prototype in a very practical of concentric rings coding flag point, add the coding to mark the beginning of the design. Such programs not only to overcome the rotational invariance caused by encoding the sharp reduction in the total number of shortcomings, and play its simple form is easy to identify the advantages and greatly expanded the number of coded signs point to meet the measurement needs of the large size and complexity of objects. Then decoding method of practical mark at home and abroad, combined with the characteristics of the design of this project coded signs point to the use of image processing, image analysis, pattern recognition, and other fields of knowledge, the decoding algorithm is designed to achieve the high efficiency of the decoding and high accuracy. Coded sign recognition rate, decoding accuracy rate of 100% of the desired effect is achieved in the trial of analog encoded image. Finally, the experimental images filmed on the actual scene study, analysis of the errors in the actual captured image decoding process. Adhesions with the surrounding elements of the case against the \The model contains data relationships derived whole image correction model. \The topics proposed design greatly expands the total number of coded mark, expanding encoding logo design ideas; decoding algorithm has the advantages of high accuracy, high efficiency design; establish a global correction model to solve the common problems of a class of photographic imaging, achieved good results in the decoding process. The research topics of the experimental data results show fully meet the actual needs of the engineering. In addition, the global correction model established in this topic applies to solve similar problems in the field of close-range photogrammetry, and at the same time can be used as reference to issues related to research in the field of image processing.

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CLC: > Astronomy,Earth Sciences > Surveying and Mapping > Photogrammetry and Surveying, Mapping and Remote Sensing
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