DETECTING VISUAL OBJECTS BY EDGE CRAWLING

doi:10.2478/jaiscr-2020-0015

DETECTING VISUAL OBJECTS BY EDGE CRAWLING

2020-05-23

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DOI：10.2478/jaiscr-2020-0015

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Abstract

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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.

Keywords:

content-based image retrieval

crawler

edge detection

image descriptor

object extraction

DETECTING VISUAL OBJECTS BY EDGE CRAWLING

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