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Fast Fractal Image Retrieval Algorithm Based on HV segmentation

机译:基于HV分段的快速分数形图像检索算法

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In HV segmentation the IFS records the compression transform parameters which reflect the cross-scale redundancy features between different regions of a natural image and have better adaptability. This paper proposed a new image fast fractal encoding method based on HV Segmentation, and brings forward the Similarity judgment formula. This method significantly improved the retrieval effect with decoding quality assurance. The experimentation shows the accurate-complete retrieval rating of this method is obviously superior to the color histogram method.
机译:在HV分段中,IFS记录压缩变换参数,该参数反映自然图像的不同区域之间的横级冗余特征,并具有更好的适应性。本文提出了一种基于HV分段的新型图像快速分形编码方法,并提出了相似性判断公式。这种方法显着提高了解码质量保证的检索效果。实验表明,这种方法的准确检索额定值明显优于色态直方图方法。

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