for calculation of the displacements of points in micro geodesy networks, it is essential to discover stable and unstable points. without knowing stable points, calculated displacements are due to datum deficiency. in this case, calculated displacements are not valid. there are two methods to discover stable and unstable points: a-congruency robust method b- l1 norm minimization in this study t...

Feature detection on MR images has largely relied on intensity classification and gradient-based magnitudes. In this paper, we propose the use of phase congruency as a more robust detection method, as it is based on a multiscale intensity-invariant measure. We show the application of phase congruency for the detection of cortical sulci from T2 weighted MRI. Sulci represent important landmarks i...

We describe a robust moving feature detector, that extracts feature points and feature velocities from a sequence of images. We develop a new approach based on phase congruency to include interpolation of feature orientation and improvements in robustness due to correlations in the image sequence. This new temporal phase congruency operator show improved capabilities on a series of different re...

Among the existing registration methods, most feature descriptors are designed with image intensity, gradient information and phase congruency (PC). However, both intensity sensitive to illumination changes, complex differences, noise, etc. Despite fact that PC is invariant contrast, it does not perform well when images corrupted noise nonlinear radiation distortions. In this article, we propos...

Edge detection in Synthetic Aperture Radar (SAR) images has been a challenging task due to the speckle noise. Ratio-based edge detectors are robust operators for SAR images that provide constant false alarm rates, but they are only optimal for step edges. Edge detectors developed by the phase congruency model provide the identification of different types of edge features, but they suffer from s...

It has been well established that people respond faster when they perform an action that is congruent with an observed action than when they respond with an incongruent action. Here we propose a new method of using interactive Virtual Characters (VCs) to test if social congruency effects can be obtained in a richer social context with sequential hand-arm actions. Two separate experiments were c...

In this paper, a multiscale line filter is proposed which is integrated with phase congruency to detect the network of vessels in retinal images. The proposed line filter can reduces the influence of step edges compared with Gaussian matched filter, and the post process use the phase congruency demonstrated a substantial improvement in detecting vessels which have low contrast or minor width. T...

A fundamental challenge in the study of learning and memory is to understand the role of existing knowledge in the encoding and retrieval of new episodic information. The importance of prior knowledge in memory is demonstrated in the congruency effect-the robust finding wherein participants display better memory for items that are compatible, rather than incompatible, with their pre-existing se...

Although face recognition has become a topic of active research in recent decades, an accurate face recognition is still a tough job and still struggle with its performance especially if it is unconstrained lighting variations. The external conditions present during the facial image acquisition stage deeply influence the appearance of a face in the acquired image and hence affect the performanc...

This paper presents multi-modal biometric watermarking techniques for personal identification system based on DCT and Phase Congruency model. The proposal made here is an improved algorithm for embedding biometrics data (such as fingerprint image with demographic information of person) in the face image of the same individual for authentication and recognition which can be employed in E-passpor...