This study presents an efficient multi-resolution method to detect binary object directly. Both intensity and geometry differences are used to measure the similarity between the source object template and target objects inside the test image. Especially for the geometrical difference, the histogram of oriented gradients is proposed to measure the similarity of the edge images between the source object template and the target object. Based on these two measurements, a multi-resolution strategy is used to accurately locate the object position in a coarse-to-fine way, where intensity difference and geometry difference applied consequently in each layer. Experimental results demonstrate the efficiency of the proposed method. PDFFulltextXMLReferencesCitation
How to cite this article
Xianyong Fang and Hao Wu, 2010. Efficient Multi-resolution Detection of Binary Object. Information Technology Journal, 9: 1641-1646.