Image Region Correspondence by Color and Structural Similarity (Special Issue on Image Processing and Understanding)

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概要

• 論文の詳細を見る

• Correspondence based on regions rather than lines seems to be effective, as regions are usually fewer than other image features and provide global information such as size, color, adjacency, etc. In this paper, we present a region matching approach for solving the correspondence problem. Images are segmented into regions and are individually described by classification tables using region adjacencies. From the structural description of the two images, the region matching process based on color and structural similarity is carried out. First, a small number of significant regions are selected and matched by using color, and then they are used as handles for constraint propagation to match the remaining regions by using structures. Our technique was implemented by using an efficient selection and propagation algorithm and was tested with a variety of scenes.

• 社団法人電子情報通信学会の論文
• 1993-04-25

著者

• Chen Yi-long

  Graduate School Of Electronic Science And Technology

• Chen Yi-long

  Graduate School Of Electronic Science And Technology Shizuoka University

• Nakatani Hiromasa

  Faculty of Engineering, Shizuoka University

• Nakatani Hiromasa

  Faculty Of Engineering Shizuoka University

関連論文

• Image Region Correspondence by Color and Structural Similarity (Special Issue on Image Processing and Understanding)
• A Graph Matching Approach to Correspondence Between Inconsistent Regions

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