Journal of Integrative Natural Science (통합자연과학논문집)

The Basic Science Institute Chosun University (조선대학교 기초과학연구원)
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Robust Similarity Retrieval for Radial Distortion of Object Shape Based on the Normalized Phase Angles and Moment

  • An, Young Eun (The Division of Undeclared Majors, Chosun University) ;
  • Kim, Tae Yeun (SW Convergence Education Institute, Chosun University)
  • Received : 2019.05.20
  • Accepted : 2019.06.15
  • Published : 2019.06.30
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Abstract

In the content-based image search properties, form information is simple because only the contours of objects are available, and although it can effectively extract the characteristics of the objects, it is sensitive to external noise. The radial distortion, one of these noises, is most prominent in the eyewear and, due to the structural characteristics of the imaging equipment, radiative distortion occurs in almost all imaging equipment. It is very important to determine the similarity of the objects in the images in which these distortions occurred to the actual objects. In order to improve this problem, we propose a strong image search technique for formative noise and radiative distortion using regularization phase angles and moments. Through simulation using Wang DB, the proposed algorithm proved excellent performance for radiation distortion that occurs in general. In addition, a system optimized for database can be implemented by making appropriate changes to the threshold values, enabling image retrieval with the desired level of confidence in various systems. The algorithm proposed in this paper is expected to be utilized as an optimal imaging system by extracting morphological form information of multimedia data.

Keywords

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Fig. 1. Proposed algorithm flow chart.

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Fig. 2. Preprocessing process image.

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Fig. 3. Distance histogram to edge.

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Fig. 4. Resampled distance histogram.

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Fig. 5. Sθ Histogram.

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Fig. 6. Shape image database.

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Fig. 7. Moments according to the phase of each shape.

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Fig. 8. Moments according to the phase of each shape.

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Fig. 9. Query image Q1, Q2, Q3, Q4.

Table 1. Area according to phase

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Table 2. Analysis of similarity for hexagonal images

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Table 3. Similarity search results for center of distortion centered on object and other radial distortion

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Table 4. Similar image of query image added to database

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Table 5. Similar Image Search Results

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Table 6. Simulation Result of Proposed Algorithm

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