Greedy Learning of Deep Boltzmann Machine (GDBM)’s Variance and Search Algorithm for Efficient Image Retrieval
Greedy Learning of Deep Boltzmann Machine (GDBM)’s Variance and Search Algorithm for Efficient Image Retrieval
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DOI：
10.1109/access.2019.2948266
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发表时间：
2019
期刊：
影响因子：
3.9
通讯作者：
M. J. J. Ghrabat-M.-J.-J.-Ghrabat-116440292;Guangzhi Ma;Z. Abduljabbar;Mustafa A. Al Sibahee;S. J. Jassim
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文献类型：
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作者：
M. J. J. Ghrabat-M.-J.-J.-Ghrabat-116440292;Guangzhi Ma;Z. Abduljabbar;Mustafa A. Al Sibahee;S. J. Jassim
尽管对基于内容的图像检索进行了广泛的研究，但仍存在准确率低、无法处理复杂查询和耗时长等挑战。首先，在这项研究中引入了一种预处理技术，该技术使用中值滤波器来去除噪声，以提高精度和可靠性。然后，傅立叶和圆形描述符提取在一个有效的方式对应的纹理和仿射形状适应功能。此外，各种描述符，如颜色直方图，颜色矩，颜色自相关图和颜色一致性向量，被提取作为不变的颜色特征。多蚁群优化（MACOBTC）的方法实现与整个功能，以找到相关的功能。最后，利用相关特征进行深度玻尔兹曼机分类器（GDBM）的贪婪学习。所提出的方法在四个数据集上获得了有效的性能和准确的结果，并与各种参数，如准确率，精度，召回率，Jaccard，Dice和Kappa系数进行了分析。GDBM提供了一个25%的准确性相比，现有的技术，如先验分类算法。
Despite extensive research on content-based image retrieval, challenges such as low accuracy, incapability to handle complex queries and high time consumption persist. Initially, a preprocessing technique is introduced in this study, a technique that uses a median filter to remove noise to achieve improved accuracy and reliability. Then, Fourier and circularity descriptors are extract in an effective manner correspondent to the texture and affine shape adaptation features. In addition, various descriptors, such as color histogram, color moment, color autocorrelogram and color coherency vector, are extracted as the invariant color features. The multiple ant colony optimization (MACOBTC) approach is implemented with whole features to find relevant features. Finally, the relevant features are utilized for the greedy learning of deep Boltzmann machine classifier (GDBM). The proposed approach obtains effective performance and accurate results on four datasets and is analyzed with various parameters such as accuracy, precision, recall, Jaccard, Dice, and Kappa coefficients. The GDBM provides a 25% increase in accuracy compared with existing techniques, such as the a priori classification algorithm.