【摘要】：針對(duì)基元結(jié)構(gòu)描述子在顏色空間的基礎(chǔ)上再提取其他特征,導(dǎo)致偏重對(duì)顏色信息的描述而降低了圖像檢索性能的問(wèn)題,提出一種應(yīng)用在HSV顏色空間上的三結(jié)構(gòu)描述子(TSD)的特征提取方法。該方法在HSV顏色空間中分別提取顏色和紋理信息,考慮到了顏色和紋理特征的同等重要性,同時(shí)避免了顏色信息的過(guò)多干擾;在紋理特征提取中,TSD利用像素間的信息變化來(lái)表示局部空間結(jié)構(gòu)信息,解決了傳統(tǒng)的局部模式方法忽略對(duì)局部結(jié)構(gòu)的空間關(guān)系描述的問(wèn)題,獲得了更多的空間結(jié)構(gòu)信息。實(shí)驗(yàn)結(jié)果表明,該方法在3個(gè)圖像庫(kù)Corel-1000、Corel-5000和Corel-10000上的檢索準(zhǔn)確率分別達(dá)到78.08%、38.12%和52.12%,與以往基元結(jié)構(gòu)方法相比,檢索準(zhǔn)確率得到了提高。
[Abstract]:The primitive structure descriptor extracts other features on the basis of color space, which leads to the problem that the description of color information is biased and the performance of image retrieval is reduced. This paper presents a feature extraction method for (TSD), a three-structure descriptor applied to HSV color space. The method extracts color and texture information in HSV color space, considering the equal importance of color and texture features, and avoids the excessive interference of color information. In texture feature extraction, TSD uses the information change between pixels to represent the local spatial structure information, which solves the problem that the traditional local pattern method ignores the spatial relationship description of the local structure and obtains more spatial structure information. The experimental results show that the retrieval accuracy of this method on Corel-1000,Corel-5000 and Corel-10000 is 78.08% and 52.12%, respectively. Compared with the previous primitive structure method, the retrieval accuracy is improved.
【作者單位】： 大連理工大學(xué)計(jì)算機(jī)科學(xué)與技術(shù)學(xué)院;大連理工大學(xué)創(chuàng)新創(chuàng)業(yè)學(xué)院;大連理工大學(xué)控制科學(xué)與工程學(xué)院;
【基金】：國(guó)家自然科學(xué)基金資助項(xiàng)目(61370200,61672130,61602082)
【分類號(hào)】：TP391.41

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