Digital Image Processing Applications In The Automotive Three-dimensional Digital-analog Reconstruction

Applying the useful information abstracted from the real object image to the simulation of the original object by computer is one of the hotspots of CAD/CAM researching field. The paper has done further research of the principle of the image processing aiming to bring forward practical method to solve the problems occurred in the digital image processing. The paper includes the following aspects. The first thing discussed in the paper is the principle of the digital image processing and signal processing such as pallet~ image file formats matrix representation of the image transposition. And also done is the simplification of the concrete algorithm. Then performed in the paper is the statistics of the gray bar graph of the object image and the signal processing with pertinence such as smoothing~ sharpening~. noise processing~ contrast extending of the image in order to strengthen the image. In succession, the paper deals with the processed image using template matching and analyzes a large number of the common templates. From the analysis, the paper get the material template of the special image so that a best signal processing result can be achieved. And the morphological disposal such as eroding and bulging of the image are also be included. Finally the paper make abstracting~ tracking~ and linking of the object image and from which the feature data are obtained. Then the paper forms the two-dimension equation using optimization and gives the practical generic algorithm. The important algorithms deduced in the paper are applied in the automobile-modeling system and has achieved satisf~抜ng result.