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Inventi Impact - Machine Vision

Articles

  • Inventi:emv/53/14
    FROM PIXELS TO REGION: A SALIENT REGION DETECTION ALGORITHM FOR LOCATION-QUANTIFICATION IMAGE
    Mengmeng Zhang, Zhi Liu, Huan Zhou, Jian Wang

    Image saliency detection has become increasingly important with the development of intelligent identification and machine vision technology. This process is essential for many image processing algorithms such as image retrieval, image segmentation, image recognition, and adaptive image compression. We propose a salient region detection algorithm for full-resolution images. This algorithm analyzes the randomness and correlation of image pixels and pixel-to-region saliency computation mechanism. The algorithm first obtains points withmore saliency probability by using the improved smallest univalue segment assimilating nucleus operator. It then reconstructs the entire saliency region detection by taking these points as reference and combining them with image spatial color distribution, as well as regional and global contrasts. The results for subjective and objective image saliency detection show that the proposed algorithm exhibits outstanding performance in terms of technology indices such as precision and recall rates.

    How to Cite this Article
    CC Compliant Citation: Mengmeng Zhang, Zhi Liu, Huan Zhou, and Jian Wang, “From Pixels to Region: A Salient Region Detection Algorithm for Location-Quantification Image,” Mathematical Problems in Engineering, vol. 2014, Article ID 826068, 7 pages, 2014. doi:10.1155/2014/826068. Copyright © 2014 Mengmeng Zhang et al. This is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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