期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2015
卷号：6
期号：1
页码：243-248
出版社：TechScience Publications
摘要：In this paper, we present an efficient algorithm based on SURF (Speeded up Robust Features), SVM and NN. The method applies the SURF algorithm in the detection and description for image features; first it applies the SURF feature detector in extracting reference images and matching feature points in the image, respectively. In the process of feature points matching; the false matching points are eliminated through this algorithm. Finally, according to the rest of the match point which can estimate the space geometric transformation parameters between two images and thus matching process is completed. In this thesis, SURF algorithm is used to detect and descript the interest points; and match the interest points by using Surf [1, 3]. In this thesis, the same is tried to retrieve with the use of SURF and fed into Support Vector Machine (SVM) and NN (Neural Network) for further classification. The SURF technique is fast and robust interest points detector which is used in many computer vision applications. For the implementation of this proposed work we use the Image Processing Toolbox under MATLAB Software.
关键词：Image processing; Matching; Surf; Neural;Network and SVM
