CAJ | 학술논문

对图像的内容进行准确快速的描述是图像检索技术中研究的重点和难点,传统的图像特征提取方法鲁棒性较差,无法检索出修改过的图像。SIFT特征对局部特征描述能力好,同时对尺度缩放、旋转、平移、仿射变换、光照变化、剪切、降维等修改具有良好的鲁棒性,并且可以应用在多种场景下,但Lowe提出的SIFT算子的提取复杂度和匹配复杂度都非常高。为了应用SIFT对图像的描述能力及其鲁棒性,并提高效率,对SIFT的提取算法进行了修改,消除可以引起边缘响应的部分极值点,消除图像细节丰富的局部过邻近点,消除图像背景中的低对比度点,以降低算法复杂度。同时在特征提取时增加位置限制和幅度限制以降低特征点的数量,从而在匹配效率上也能得到提高。仿真实验表明,该方法在保证图像检索准确度的同时,提高了算法的效率上。
대도상적내용진행준학쾌속적묘술시도상검색기술중연구적중점화난점,전통적도상특정제취방법로봉성교차,무법검색출수개과적도상。SIFT특정대국부특정묘술능력호,동시대척도축방、선전、평이、방사변환、광조변화、전절、강유등수개구유량호적로봉성,병차가이응용재다충장경하,단Lowe제출적SIFT산자적제취복잡도화필배복잡도도비상고。위료응용SIFT대도상적묘술능력급기로봉성,병제고효솔,대SIFT적제취산법진행료수개,소제가이인기변연향응적부분겁치점,소제도상세절봉부적국부과린근점,소제도상배경중적저대비도점,이강저산법복잡도。동시재특정제취시증가위치한제화폭도한제이강저특정점적수량,종이재필배효솔상야능득도제고。방진실험표명,해방법재보증도상검색준학도적동시,제고료산법적효솔상。
Fast accurate description of image content is the focus and difficulties of image retrieval technology, and the traditional method of robust image feature extraction is poor, unable to retrieve the modified image. Characterization of the ability of local good SIFT algorithm is good at partial characterization description, while the scale scaling, rotation, translation, affine transformations, illumination changes, cut, dimension reduction and other changes, it has good robustness and can be applied in a variety of scenarios, but Lowe proposed the SIFT operator complexity of the extraction and matching complexity is very high. In order to apply SIFI＂ description of the image capacity and its robustness, and efficiency, this extraction of SIFY algorithm has been modified to eliminate some of the response can cause the edge of extreme points, eliminating the image detail is too close to a wealth of local points, to eliminate image in the background of low contrast points to reduce the complexity of the algorithm. Also increased position in the feature extraction limit and rate limit to reduce the number of feature points, resulting in matching efficiency can be improved. Simulation results show that the method to ensure the accuracy of image retrieval at the same time, improve the efficiency of the algorithm.