In this paper

a kind of practical image segmentation algorithm for segmenting the license plate from its vehicle body background is presented

based on wavelet multiscale analysis and mathematical morphology. By multi-resolution analysis and pyramid decomposition

the edge components with different spatial resolutions and different directions can be acquired

among which

the horizontal low-frequency and vertical high-frequency component has the most distinguished texture feature standing for the object region of the license plate. Then by further morphological operations

the noise in these edge components can be greatly decreased and the locations of the license plates can be also accurately determined. We have completed a series of experiments under different conditions. The experiment results show that the segmentation effects and it' s orientation accuracy are improred significantly

so the proposed method is very effective for segmenting and locating noisy vehicle license plates.