Straight Line Extraction Algorithm of Freeman Chain Code Priority
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Abstract
Aiming to overcome the limitations of a straight line extraction algorithm,a simple and effi-cient algorithm to detect line edge of objects in images is proposed.Based on the Freeman criteria andthe characteristics of digital line,the priority method is first applied to track the image after an edge isdetected.Secondly,using a distance constraint improves the chain code linearity and eliminates isnoise and details.Finally merging the lines completes the line extraction.Experimental results showthat this algorithm is efficient,precise,robust for noise and suitable for real-time processing when ex-tracting line features,especially for large-size images.
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