Chinese calligraphy is considered to be one of the most beautiful and meaningful patterns in the world. Calligraphy is an art dating back to the earliest day of Chinese history, and widely practised throughout ancient China even to recent days. Owing to the passage of time, many old carvings of stamp characters have gradually faded. How to preserve these old Chinese cultural artifacts will be some crucial issues for today. Reverse engineering (RE) and rapid prototyping (RP) technology are considered effective tools for product development. This research combines RE, grey prediction theory in pattern processing, geometric modeling for constructing the characters of Chinese calligraphy and RP for model making. First, the written Chinese calligraphy is scanned by a scanner. By using image processing, the contours of the Chinese characters can be detected. The contours for the characters then turn out to be point data which can be easily processed in any computer aided design (CAD) software by using B-Spline curves to fit the points. An example is demonstrated by writing a Chinese compound word 'the fortune and treasure are coming' to show the process. Finally, a RP model is fabricated to show various applications for the products in Chinese calligraphy pattern. By this research, the gap between the Chinese calligraphy in handicraft and digital virtual design can be realized. More usefully, with this research the aesthetic aspects in the characters can be preserved.
This paper presents the construction of 3D rapid prototyping (RP) physical models for computer tomography (CT) medical images. By using STL (Stereo Lithography) triangular meshes as basis for 3D construction, the process for RP model construction can be simplified via point data without turning them into curves. Grey prediction theory is used to sort out contour point data in each layer of the medical image. Using contour difference detection operation, the sequence is completed operation through the cross-sectional contours. The 3D solid model constructed via layer by layer meshes is to build the STL file. After saving as STL file, 3D solid model of the medical image is displayed with RP and its virtual reality presentation. Two case studies, human braincase and femur bone are used as case study for construction of 3D solid model with medical images. The method is successful and a number of steps are simplified. The two solid models are compared with curves swept-blend CAD models for analysis. The results show that differences between the two methods are in an acceptable range; therefore, it is shown that this method is feasible for reconstructing 3D models from CT medical images.
STL (Stereo Lithography) format is the de facto file for rapid prototyping manufacturing. However, it suffers from its drawback in a high degree of redundant vertices.Furthermore, errors in the tessellation process cause inconsistency and incompleteness in the STL file. The purpose ofthis paper is to present how to simplify STL triangular mesh and get its optimized shape for rapid prototyping manufactu ring.The processes for the STL mesh re-triangulation can be set to mesh deletion and mesh reconstruction. In the mesh deletion process, two kinds of weighted value algorithms are used for determining the suitable value of STL meshes deleted.In the process of STL mesh reconstruction, genetic algorithm with its fitness functions is implemented for the optimization of the STL meshes. Two cases of the STL meshes re-triangulation are shown to prove the processes presented in this paper are in good results.
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