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DETECTING VISUAL OBJECTS BY EDGE CRAWLING
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DOI：10.2478/jaiscr-2020-0015.png)
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摘要
En 中文
Content-based image retrieval methods develop rapidly with a growing scale of image repositories. They are usually based on comparing and indexing some image features. We developed a new algorithm for finding objects in images by traversing their edges. Moreover, we describe the objects by histograms of local features and angles. We use such a description to retrieve similar images fast. We performed extensive experiments on three established image datasets proving the effectiveness of the proposed method.
Keyword:
content-based image retrieval
crawler
edge detection
image descriptor
object extraction
期刊
IF:
2.4
论文数:
170
被引数:
459
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