计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2013年
18期
138-141
,共4页
图像检索%模糊集%颜色识别%特征提取
圖像檢索%模糊集%顏色識彆%特徵提取
도상검색%모호집%안색식별%특정제취
image retrieval%fuzzy sets%color recognition%feature extraction
基于内容的图像检索（Content-based Image Retrieval，CBIR）以其极高的理论与应用价值成为了图像处理领域的研究热点。提取和匹配图像特征是CBIR的主要手段。然而提取图像的有效特征是极其困难的。利用HSV颜色空间特性以及人类对颜色的感知规律，提出一种颜色识别方法。应用此方法对图像的像素进行一种保持结构的分类，并在类内提取结构特征。图像的特征匹配将在同类像素集合间进行，降低了图像特征提取与匹配的复杂性。实验表明，提出的图像检索方法有良好的效果。
基于內容的圖像檢索（Content-based Image Retrieval，CBIR）以其極高的理論與應用價值成為瞭圖像處理領域的研究熱點。提取和匹配圖像特徵是CBIR的主要手段。然而提取圖像的有效特徵是極其睏難的。利用HSV顏色空間特性以及人類對顏色的感知規律，提齣一種顏色識彆方法。應用此方法對圖像的像素進行一種保持結構的分類，併在類內提取結構特徵。圖像的特徵匹配將在同類像素集閤間進行，降低瞭圖像特徵提取與匹配的複雜性。實驗錶明，提齣的圖像檢索方法有良好的效果。
기우내용적도상검색（Content-based Image Retrieval，CBIR）이기겁고적이론여응용개치성위료도상처리영역적연구열점。제취화필배도상특정시CBIR적주요수단。연이제취도상적유효특정시겁기곤난적。이용HSV안색공간특성이급인류대안색적감지규률，제출일충안색식별방법。응용차방법대도상적상소진행일충보지결구적분류，병재류내제취결구특정。도상적특정필배장재동류상소집합간진행，강저료도상특정제취여필배적복잡성。실험표명，제출적도상검색방법유량호적효과。
Content-based Image Retrieval(CBIR)has become a hot research field of image processing. Features extraction and matching of image are the primary means of CBIR. However, it is extremely difficult to extract effective characteristics. This paper combines the HSV color space’s characteristics with laws of human perception of color, to propose a color recognition method. Applying this method, pixels in image are divided into several classes which keep the structure in the original image. Structure feature extraction is implemented in each class. Image feature matching is done between the corresponding classes in different images. This method reduces the complexity of the image features extraction and matching. The experiments show that the proposed image retrieval method has good results.
