We present a procedure using continuous wavelet transforms (CWTs) to extract the phase information from moiré interferograms. The relationship between precise ridge detection of the two-dimensional CWT magnitude map and accurate phase extraction is detailed. A cost function is introduced for the adaptive selection of the ridge, and a computationally inexpensive implementation of the cost functi...

Ridges are one of the key feature of interest in areas such as computer vision and image processing. Even though a significant amount of research has been directed to defining and extracting ridges some fundamental challenges remain. For example, the most popular ridge definition (height ridge) is not invariant under monotonic transformations and its global structure is typically ignored during...

Qualitative results Experiments Conclusion Problem: fragmentation, tortuosity and SNR are severe challenges for curvilinear structure detectors. Key contribution: new ridge detector, SCIRD: orientation, scale, contrast and curvature invariant. Results: SCIRD outperforms state-of-theart HCFs on corneal nerve fibres and neurites data sets. Future: to combine SCIRD with context filters (R. Annunzi...

The tectonic evolution of southern Alaska is defined by a long history of subduction, accretion, and coastwise transport of terranes along the North American margin (e.g. Plafker et al., 1994). Cowen (1982, 2003) and Haeussler et al. (2003) propose two competing hypotheses for the formation and transport history of the Mesozoic-Tertiary Chugach-Prince William terrane that extends for at least 2...

The subject of scale selection is essential to many aspects of multi-scale and multi-resolution processing of image data. This article shows how a general heuristic principle for scale selection can be applied to the problem of detecting and localizing junctions. In a rst uncommitted processing step initial hypotheses about interesting scale levels (and regions of interest) are generated from s...

We present a new approach for the design of optimal steerable 2-D templates for feature detection. As opposed to classical schemes where the optimal 1-D template is derived and extended to 2-D, we directly obtain the 2-D template. We choose the template from a class of steerable functions based on the analytic optimization of a Canny-like criterion. Our approach gives more orientation selective...

A linear band, which is a straight line segment with some width (i.e., thickness), is a more structured, higher-level feature compared to edge or line features. In spite of the usefulness of linear bands as features, papers dealing with their detection problem are rare. In this paper, we propose a new method for detecting linear bands in gray-scale images. We "rst talk about our opinion on what...

This paper proposes a method to verify the finger print of any individual based on ridge edge detection. MATLAB is used as the programming tool. The method detects the ridge endings and bifurcations of an individual finger print. The quality of the finger print image is enhanced by preprocessing for better performance. The verification, takes into account of the relative positions and alignment...

Conventional seismic techniques for detecting the subsurface geologic features are challenged by limited data coverage, computational inefficiency, and subjective human factors. We developed a novel data-driven geological feature detection approach based on pre-stack seismic measurements. Our detection method employs an efficient and accurate machine-learning detection approach to extract usefu...