CAJ | 학술논문

提出了一种基于特征点和重叠过渡泊松融合的红外序列图像无缝拼接方法。该方法首先采用简化的SIFT特征提取方法获得图像特征点，然后利用双向互匹配的方法提高特征点的匹配精确度，再通过引入随机抽样一致性(RANSAC)算法剔除误匹配点对并求出图像间的变换矩阵，最后将改进的重叠过渡的泊松融合完成图像间的无缝拼接。该算法具有很好的鲁棒性，允许图像有旋转变换和缩放变换，且不受图像噪声影响。实验结果表明：该方法简单有效，可以在保持图像清晰度的前提下，明显消除拼接缝隙，提高拼接图像的质量。
제출료일충기우특정점화중첩과도박송융합적홍외서렬도상무봉병접방법。해방법수선채용간화적SIFT특정제취방법획득도상특정점，연후이용쌍향호필배적방법제고특정점적필배정학도，재통과인입수궤추양일치성(RANSAC)산법척제오필배점대병구출도상간적변환구진，최후장개진적중첩과도적박송융합완성도상간적무봉병접。해산법구유흔호적로봉성，윤허도상유선전변환화축방변환，차불수도상조성영향。실험결과표명：해방법간단유효，가이재보지도상청석도적전제하，명현소제병접봉극，제고병접도상적질량。
A seamless IR image sequence mosaic method based on feature points and principle of overlap transition Poisson image fusion was proposed. Firstly, a simplified SIFT was used to extract invariant feature points from images. In order to improve the accuracy of matching, bidirectional and complementary matching method was used. Then, random sample consensus (RANSAC) was used to perform reliable matching parameters of the transformation between images which were obtained from the matched feature points. Finally, Poisson image fusion was used to accomplish seamless image mosaic. The feature points were invariant to affine transformation, noise contamination, leading to robustness of the method. Experimental results show that the image mosaic method is simple and effective, and eliminate the mosaic seams while keeping good image definition.