基于互補(bǔ)特征的紋理圖像檢索(存儲(chǔ)版)
【正文】 的飛速增長(zhǎng)，基于內(nèi)容的圖像檢索目前已變得日益重要和必不可少［1］。然后，分別單獨(dú)利用各個(gè)特征和相應(yīng)的相似性測(cè)度進(jìn)行檢索。關(guān)鍵詞:改進(jìn)的contourlet變換；建模；l1能量；廣義高斯分布；互補(bǔ)特征； 紋理圖像檢索 texture image retrieval based on plementary featuresqu *school of information and electric engineering, shandong jianzhu university, jinan shandong 250101, chinaabstract:because the performance of the image retrieval system could be effectively improved using the plementary features, a retrieval method of the texture image using l1 energy and generalized gaussian distribution parameter features was proposed in the improved contourlet transform domain. firstly, the directional subband coefficients were modeled as generalized gaussian distribution using an improved approach. then, the texture images were respectively retrieved based on the single feature and the corresponding similarity measurement. lastly, using the plementary features and the direct summation of their similarity measurem
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