Study on Elemental Techniques of Image Search Method using Pixel Value Histograms for Ornament Attacked Images
Study on Elemental Techniques of Image Search Method using Pixel Value Histograms for Ornament Attacked Images
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DOI：
10.14257/ijsip.2015.8.3.02
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发表时间：
2015-03
期刊：
影响因子：
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通讯作者：
M. Fujimura;K. Imamura;H. Kuroda
中科院分区：
文献类型：
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作者：
M. Fujimura;K. Imamura;H. Kuroda
存在类似的图像检索方法，其使用原始图像的像素值和非法复制的搜索目标图像的像素值的归一化直方图。在该方法中，当两个直方图之间的相关系数大于预定阈值时，确定目标图像与原始图像相似。然而，受到装饰攻击后的图像内容与原始图像内容不同，这意味着寻找与原始图像相似的图像是非常困难的。通常，对图像的周边区域应用图像的装饰处理。因此，如果仅使用ROI（感兴趣区域）中不受装饰攻击影响的像素来创建归一化直方图，则可能是有效的。为了仅提取包含在感兴趣区域中的像素，我们提出了一种使用掩模图像的方法。本文详细研究了基于掩模图像和归一化直方图的元素提取技术。计算机模拟结果表明了这些单元技术的有效性。
There is a similar image retrieval method which uses a normalized histogram of the pixel values of the original image and that of the pixel values of the illegally copied search target image. In this method, when the correlation coefficient between the two histograms is greater than a predetermined threshold value, the target image is to determine to be similar to the original image. However, the contents of the image that has received ornament attack is different from the contents of the original image, this means that it is searching for images similar to the original image is very difficult. In general, ornament processing of the image is applied to the peripheral region of the image. Therefore, if only the pixels to limit in the ROI (region of interest) which are not affected by the ornament attack are used to create the normalized histogram, it may be effective. We, in order to extract only the pixels included in the ROI, have proposed a method of using a mask image. In this paper, it describes some detailed study about the element techniques including using the mask image and normalization histogram. Moreover, the computer simulations show the effectiveness of these element techniques.