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A Novel Technique Based on Visual Words Fusion Analysis of Sparse Features for Effective Content-Based Image Retrieval

机译：基于视觉词融合分析的稀疏特征的新技术用于基于内容的有效图像检索

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摘要

Content-based image retrieval (CBIR) is a mechanism that is used to retrieve similar images from an image collection. In this paper, an effective novel technique is introduced to improve the performance of CBIR on the basis of visual words fusion of scale-invariant feature transform (SIFT) and local intensity order pattern (LIOP) descriptors. SIFT performs better on scale changes and on invariant rotations. However, SIFT does not perform better in the case of low contrast and illumination changes within an image, while LIOP performs better in such circumstances. SIFT performs better even at large rotation and scale changes, while LIOP does not perform well in such circumstances. Moreover, SIFT features are invariant to slight distortion as compared to LIOP. The proposed technique is based on the visual words fusion of SIFT and LIOP descriptors which overcomes the aforementioned issues and significantly improves the performance of CBIR. The experimental results of the proposed technique are compared with another proposed novel features fusion technique based on SIFT-LIOP descriptors as well as with the state-of-the-art CBIR techniques. The qualitative and quantitative analysis carried out on three image collections, namely, Corel-A, Corel-B, and Caltech-256, demonstrate the robustness of the proposed technique based on visual words fusion as compared to features fusion and the state-of-the-art CBIR techniques.
机译：基于内容的图像检索（CBIR）是一种用于从图像集合中检索相似图像的机制。本文介绍了一种有效的新颖技术，可在尺度不变特征变换（SIFT）和局部强度顺序模式（LIOP）描述符的视觉单词融合的基础上提高CBIR的性能。 SIFT在比例变化和不变旋转方面表现更好。但是，SIFT在低对比度和图像内照明变化的情况下效果不佳，而LIOP在这种情况下效果更好。即使在较大的旋转和比例变化下，SIFT的效果也更好，而LIOP在这种情况下的效果不佳。此外，与LIOP相比，SIFT功能始终保持轻微的失真。所提出的技术基于SIFT和LIOP描述符的视觉单词融合，它克服了上述问题并显着提高了CBIR的性能。将该技术的实验结果与另一种基于SIFT-LIOP描述子的新型特征融合技术以及最新的CBIR技术进行了比较。对Corel-A，Corel-B和Caltech-256这三个图像集进行的定性和定量分析证明，与特征融合和状态变化相比，基于视觉单词融合的拟议技术具有较强的鲁棒性。最新的CBIR技术。

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  • 来源
    《Mathematical Problems in Engineering》 |2018年第3期|2134395.1-2134395.13|共13页
  • 作者

    Yousuf Muhammad; Mehmood Zahid; Habib Hafiz Adnan; Mahmood Toqeer; Saba Tanzila; Rehman Amjad; Rashid Muhammad;

  • 作者单位

    Univ Engn & Technol, Dept Software Engn, Taxila 47050, Pakistan;

    Univ Engn & Technol, Dept Software Engn, Taxila 47050, Pakistan;

    Univ Engn & Technol, Dept Comp Sci, Taxila 47050, Pakistan;

    Univ Engn & Technol, Dept Comp Sci, Taxila 47050, Pakistan;

    Prince Sultan Univ, Coll Comp & Informat Sci, Riyadh 11586, Saudi Arabia;

    Al Yamamah Univ, Coll Comp & Informat Syst, Riyadh 11512, Saudi Arabia;

    Umm Al Qura Univ, Dept Comp Engn, Mecca 21421, Saudi Arabia;

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