Natural Object/Artifact Image Classification Based on Line Features

Johji TAJIMA  Hironori KONO  

IEICE TRANSACTIONS on Information and Systems   Vol.E91-D   No.8   pp.2207-2211
Publication Date: 2008/08/01
Online ISSN: 1745-1361
DOI: 10.1093/ietisy/e91-d.8.2207
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Image Recognition, Computer Vision
natural object,  artifact,  classification,  line features,  

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Three features for image classification into natural objects and artifacts are investigated. They are 'line length ratio', 'line direction distribution,' and 'edge coverage'. Among the three, the feature 'line length ratio' shows superior classification accuracy (above 90%) that exceeds the performance of conventional features, according to experimental results in application to digital camera images. As the development of this feature was motivated by the fact that the edge sharpening magnitude in image-quality improvement must be controlled based on the image content, this classification algorithm should be especially suitable for the image-quality improvement applications.