CAJ | 학술논문

针对单一特征对商标图像描述的局限性，提出了一种基于轮廓和SIFT特征组合的商标图像检索方法。该方法对二值化的商标图像进行轮廓提取，采用规则算法对其进行轮廓分解，对分解的参考点集进行Fourier变换，将得到的Fourier系数作为参考点的轮廓特征。针对商标图像的尺度空间进行极值点检测，并对检测到的极值点进行特征描述，该特征描述即为商标图像的SIFT特征描述。最后，SIFT特征与轮廓特征进行特征融合，并将融合后的组合特征作为对商标图像的特征描述。
침대단일특정대상표도상묘술적국한성，제출료일충기우륜곽화SIFT특정조합적상표도상검색방법。해방법대이치화적상표도상진행륜곽제취，채용규칙산법대기진행륜곽분해，대분해적삼고점집진행Fourier변환，장득도적Fourier계수작위삼고점적륜곽특정。침대상표도상적척도공간진행겁치점검측，병대검측도적겁치점진행특정묘술，해특정묘술즉위상표도상적SIFT특정묘술。최후，SIFT특정여륜곽특정진행특정융합，병장융합후적조합특정작위대상표도상적특정묘술。
For the limitations of the description on single feature trademark image, a method of trademark image retrieval which is based on profile and SIFT characteristics is proposed. In this method, first step is to get profile by making trademark image to binary image, then contour decomposes the image using rule algorithm and does the Fourier transform on set of reference points of the decomposition. The Fourier coefficient is the profile feature of reference point. Then it detects extreme points on scale space of the trademark image, and describes the extreme points with feature which is SIFT characteristics description of trade-mark image. Finally, SIFT features is combined with profile features as a new feature for feature description of trademark image.