基于JavaBeans组件技术的工程扫描图像信息处理软件的/The Design and Implementation of an Engineering Sc
Scanner is popular image acquisition equipment widely used in many different fields. The demands for scanned image quality and scanner performance in different areas are respectively diverse. In order to fulfill high quality requirements of scanned images in some special domains and enhance the quality cost ratio of scanner, it is increasingly significant to post-process distinguishingly the scanned image information combining digital image processing techniques and specialized image processing software.
This thesis emphasizes on some key image processing techniques of engineering scanned image and analyses the system demands and designs the system framework and functional modules based on JavaBeans component technology according to the demands of target object. The thesis depicts the relation among framework, common library and module sets and details the scheme by which common library provides public properties and methods for framework and all modules. Each module is encapsulated with a set of professional image detecting and processing algorithms. Some algorithms has been implemented, such as scanned image display, geometric transformation, gray scale transformation, pseudo-color enhancement, brightness/contrast adjustment and special requency domain filter algorithms, etc. According to the large-dimensioned scanned images frequently appeared in engineering, the thesis especially investigates the massive image data processing algorithm and proposes a data buffer strategy. This approach not only meets the requirements of processing arbitrary dimension scanned image but also optimizes the performance of loading massive image data. This has been a distinct characteristic that discriminate this software system from other image processing software. Besides, for the convenience of users, the thesis has developed friendly and simply graphical user interface to output the image detecting result with data, plots and charts.
The thesis tests comprehensively and analyses the performances of the system. The result shows that this system is competent for scanned image processing in target field. The system bears certain practicability and application prospect.