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Image edge detection is sensitive to noise which is contained by natural images so that it affects the quality of the image segmentation. In order to remove noise and improve edge detection accuracy, then improving the quality of image segmentation, a novel image segmentation algorithm via neighborhood the principal component analysis and Laplace operator is proposed. The feature vectors of each pixel...
For plate detection, we found that when the plate is disturbed by complex upright borderlines, location can be inaccurate or even missed. On the basis of this, a new vehicle license plate location algorithm based on salient feature is introduced. It makes use of the texture feature, geometric characteristics and color information. By raw location and precise location, it can quickly locate the license...
Conventional image edge detection algorithms generate the information undetected and artificial information problems. In order to detect the image edge more effectively, an improved method based on grey model (GM) is brought forward. The neighborhood pixels of target pixel are selected to build the model. These data are preprocessed by translation transformation and logarithmic transformation. The...
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