A new algorithm based on multi-scale morphology for image segmentation

This paper proposed a method for fast license plate localization based on multi-scale morphological gradient optimization and gradient reconstruction. Considering the idea of multi-scale, this method employs different sizes of structure elements to reconstruct morphological gradient image. Firstly, open and close operations are employed to reconstruct gradient image. Secondly, extracts marker of regional minimal from each gradient image by using thresholds and the reconstructed gradient image are modified. Thirdly, the watershed transformation of the marker modified gradient image is performed to achieve the regional segmentation of the image. Finally, mark the plate candidate regions and use the geometric properties (aspect ratio, rectangular area, etc.) removed a false license to get a real license. Experimental results show that this method can achieve segmentation effectively.