CAJ | 학술논문

SURF算子为了改善SIFT的计算复杂度高的问题,简化和近似了DoH(Determinant of Hessian),这样不仅保证了算法结果的稳定性,也提高了计算效率.但是SURF这样的近似简化过程,损失了图像中的一些渐变信息.对SURF算子进行了改进,在其处理过程中加入了渐变的信息.实验结果表明,提出的G-SURF(Gradual-SURF)算子可以获得更稳定的效果,并且同时计算复杂度也有所改善.
SURF산자위료개선SIFT적계산복잡도고적문제,간화화근사료DoH(Determinant of Hessian),저양불부보증료산법결과적은정성,야제고료계산효솔.단시SURF저양적근사간화과정,손실료도상중적일사점변신식.대SURF산자진행료개진,재기처리과정중가입료점변적신식.실험결과표명,제출적G-SURF(Gradual-SURF)산자가이획득경은정적효과,병차동시계산복잡도야유소개선.
In order to improve the high complexity problem of SIFT, SURF algorithm simplifies and approximates the DoH (Determinant of the Hessian). This improvement not only guarantees the stability of the algorithm, but also increases the calcula-tion efficiency. But when the SURF simplifies the DoH gaussian second order differential template, some of the image gradient information are lost. Therefore, a Gradual SURF(G-SURF)operator is proposed in the this paper, and the gradient information is added in the process. Experimental results show that the proposed improved SURF operator can get a more stable effect and improve calculation complexity at the same time.