基于多濾波器集成的邊緣檢測(cè)
EDGE DETECTION BASED ON INTEGRATION OF MULTI-FILTER
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摘要: 該文用多種濾波器從圖像中提取灰度分布特征;針對(duì)不同類別的邊緣,分別用不同的灰度分布特征組合進(jìn)行檢測(cè);把不同類別邊緣的檢測(cè)結(jié)果集成以實(shí)現(xiàn)圖像邊緣檢測(cè)。本文所提方法把邊緣檢測(cè)轉(zhuǎn)化為模式識(shí)別問(wèn)題,從而增加了邊緣檢測(cè)的靈活性,同時(shí)也提高了檢測(cè)質(zhì)量。實(shí)驗(yàn)結(jié)果表明該方法具有較好的檢測(cè)效果和抗噪能力。
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關(guān)鍵詞:
- 邊緣檢測(cè); 多濾波器集成; 圖像
Abstract: In this paper, a set of filters is used to extract features of gray scale s distribution from an image. Different features detect different kinds of edges. In the end, those results are integrated to get the ultimate image edge. The method presented in this paper turns edge detection into a problem of pattern recognition. So the method can fit to a complex edge model. Experimental results prove that the presented method is feasible and effective. -
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