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Journal of Applied Sciences
  Year: 2014 | Volume: 14 | Issue: 18 | Page No.: 2163-2169
DOI: 10.3923/jas.2014.2163.2169
 
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Image Searching Algorithm based on the Partition of Multiple Scales and Levels

Lu Zhaogan and Bao Zhiguo

Abstract:
By the reasons of the bad accuracy of drawbacks of current image searching algorithms, the difficulties and uncertainties of image blocking procedures, one image searching algorithm with the partition of multiple scales and levels is proposed in this study, which is conducted by the classic wavelet multiple scale and level decomposition algorithm. According to the algorithm, the interest objects would be found in the image partitions at different levels with different scales, where the Gabor texture features, main colors and color invariant moments were used as the metric of image searching results. Based the numerical evaluation results with classical histogram and invariant moment approaches, the image searching accuracy is improved from 66 and 68-77% by the algorithm with feasible implementation.
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How to cite this article:

Lu Zhaogan and Bao Zhiguo, 2014. Image Searching Algorithm based on the Partition of Multiple Scales and Levels. Journal of Applied Sciences, 14: 2163-2169.

DOI: 10.3923/jas.2014.2163.2169

URL: https://scialert.net/abstract/?doi=jas.2014.2163.2169

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