Image noise always affects the clarity of the image and leads to blurring. However, the traditional de-noising methods cannot effectively remove the image noise especially the noise in regions contains rich detail information. In order to eliminate the noise, preserve better detail information of the images and enhance the de-noising effect of Contourlet wavelet transformation for images and cu...

Mean-Shift tracking is primarily used for carrying out localized search on an image frame using colour histograms. The application of mean-shift tracking directly to SURF features is limited due to the unavailability of sufficient number of key points for a given object. This paper proposes a method called re-projection to overcome this limitation so that the mean-shift algorithm can be used di...

The paper proposes a way of parallel processing of SURF and Optical Flow for moving object recognition and tracking. The object recognition and tracking is one of the most important task in computer vision, however disadvantage are many operations cause processing speed slower so that it can’t do real-time object recognition and tracking. The proposed method uses a typical way of feature extrac...

Most coastal structures have been built in surf zones to protect coastal areas. In general, the transformation of waves in the surf zone is quite complicated and numerous hazards to coastal communities may be associated with such phenomena. Therefore, the behavior of waves in the surf zone should be carefully analyzed and predicted. Furthermore, an accurate analysis of deformed waves around coa...

Cloud computing is an important part of today’s world because offloading computations is a method to reduce costs. In this paper, we investigate computing the Speeded Up Robust Features (SURF) using Fully Homomorphic Encryption (FHE). Performing SURF in FHE enables a method to offload the computations while maintaining security and privacy of the original data. In support of this research, we d...

Speed Up Robust Feature (SURF) and Local Contour Sequence(LCS) are methods used for feature extraction techniques for dynamic gesture recognition. A problem presented by these techniques is the large amount of data in the output vector which difficult the classification task. This paper presents a novel method for dimensionality reduction of the features extracted by SURF and LCS, called Convex...

In this paper, we present a novel image mosaicking method that is based on Speeded-Up Robust Features (SURF) of line segments, aiming to achieve robustness to incident scaling, rotation, change in illumination, and significant affine distortion between images in a panoramic series. Our method involves 1) using a SURF detection operator to locate feature points; 2) rough matching using SURF feat...

In this paper, we compare the performance of matching algorithms in terms of efficiency, robustness, and computation time. Our evaluation uses as criterion, for efficiency and robustness, number of inliers and is carried out for different video sequences with abrupt motions (translation, rotation, combined). We compare SIFT, SURF, cross-correlation with Harris detector, and cross-correlation wi...

The use of indicators for evaluating the microbiological quality of the marine surf-zone water is a worldwide practice. It is important that the indicator used, is the most relevant in relation to bathers’ health. It must be easy to detect and it must be cost effective. This paper reports the comparison between the occurrence of faecal coliforms and Escherichia coli in the marine surf-zone. Bot...

This paper presents the application of the open source non-hydrostatic wave-flow model SWASH to propagation of irregular waves in a barred surf zone, and the model results are discussed by comparing against an extensive laboratory data set. This study focus not only on wave transformation in the surf zone, but also on the numerical prediction of undertow and vertical distribution of turbulence ...