A novel approach of rectangular shape object detection in color images based on an MRF model

Yangxing Liu*, Takeshi Ikenaga, Satoshi Goto

*この研究の対応する著者

研究成果: Paper査読

2 被引用数 (Scopus)

抄録

Rectangular shape object detection in color images is a critical step of many image recognition systems. However, there are few reports on this matter. In this paper, we proposed a hierarchical approach, which combines a global contour based line segment detection algorithm and an Markov Random Field (MRF) Model, to extract rectangular shape objects from real color images. First, we use an elaborate edge detection algorithm to obtain image edge map and accurate edge pixel gradient information (magnitude and direction). Then line segments are extracted from the edge map and some neighboring parallel segments are merged into a single line segment. Finally all segments lying on the boundary of unknown rectangular shape objects are labeled via an MRF Model built on line segments. Experimental results show that our method is robust in locating multiple rectangular shape objects simultaneously with respect to different size, orientation and color.

本文言語English
ページ386-393
ページ数8
DOI
出版ステータスPublished - 2006 12 1
イベント5th IEEE International Conference on Cognitive Informatics, ICCI 2006 - Beijing, China
継続期間: 2006 7 172006 7 19

Conference

Conference5th IEEE International Conference on Cognitive Informatics, ICCI 2006
国/地域China
CityBeijing
Period06/7/1706/7/19

ASJC Scopus subject areas

  • 人工知能
  • 情報システム

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