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In this paper, we propose a wavelet lossy image coding algorithm with edge detection and tracking using wavelet difference reduction. Firstly, we obtain the edge map of an obstacle image by SUSAN edge detector. And an edge tracking filtering method is applied to the edge information image and Region of Interest (ROI) is extracted from the original image. Then the coordinates of ROI are mapped to the...
Edges are basic low level primitives for image processing. Edge detection is one of the most common operations in image analysis. In this paper a new implementation for edge detection methods using LVQ neural network is proposed. For instance Susan and Canny and Sobel edge detectors are modeled by neural network and simulation results are very promising.
This paper puts forward an on-line automatic inspecting means, which covers ART2 neural network, wavelet transform and D-S evidence theory for types of auto rack girders. Firstly, for the real-time gathered auto rack girders top image on line, extracting wavelet decomposed coefficient of image with wavelet transform, energy value of wavelet coefficient is used as a character template; top images of...
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