Image segmentation is an important process in computer vision. Recently fuzzy logic based edge detection heavily investigated as by changing the number of rules can be improved. However, due to large colour variations images false edges are detected and even using they cannot reduced significantly. These falsely controlled smoothen filter while controlling degree smoothness. This paper, present...

Optic flow describes the displacement field in an image sequence. Its reliable computation constitutes one of the main challenges in computer vision, and variational methods belong to the most successful techniques for achieving this goal. Variational methods recover the optic flow field as a minimiser of a suitable energy functional that involves data and smoothness terms. In this paper we pre...

In this article, we consider the following inpainting problem arising in image restoration: part of an image has been removed, and we want to restore the image from the remaining, possibly noisy, portion. We show that if the true image contains no sharp edges, the inpainting can be done rather satisfactorily by means of an isotropic smoothness prior assumption. If, on the other hand, we have in...

Recent work has proposed the reformulation of smoothness measures derived from standard integrated squared jerk, as a function of position, not time. However, its promulgation was in the context of monotonic excursion data extracted from single degree-of-freedom (DOF) movements; the result was a formulation of a phase smoothness measure with limited generalizability. Here, we present a complete...

The shearlet representation has gained increasingly more prominence in recent years as a flexible mathematical framework which enables the efficient analysis of anisotropic phenomena by combining multiscale analysis with the ability to handle directional information. In this paper, we introduce a class of shearlet smoothness spaces which is derived from the theory of decomposition spaces recent...

This paper proposes a novel and efficient feature-point matching algorithm for finding point correspondences between two uncalibrated images. The striking feature of the proposed algorithm is that the algorithm is based on the motion coherence/smoothness constraint only, which states that neighboring features in an image tend to move coherently. In the algorithm, the correspondences of feature ...

This brief provides findings on the observed effect of initial pavement smoothness (also known as initial roughness, or as-constructed roughness) on the long-term pavement roughness progression of asphalt overlays. The relationship can be used as a measure for estimating the long-term effect of pavement smoothness and for consideration when developing smoothness specifications and/or payment ad...

Advances in space robotics technology hinge to a large extent upon the development and deployment of sophisticated new vision-based methods for automated in-space mission operations and scientific survey. To this end, we have developed a new concept for automated terrain analysis that is based upon a generic image enhancement platform—multi-scale retinex (msr) and visual servo (vs) processing. ...

Image magnification is a common problem in imaging applications, requiring interpolation to “read between the pixels”. Although many magnification/interpolation algorithms have been proposed in the literature, all methods must suffer to some degree the effects of imperfect reconstruction—false high-frequency content introduced by the underlying original sampling. Most often, these effects manif...

Many measures have been employed to quantify an aspect of healthy, skilled movement, which has been termed “movement smoothness” of which jerk is the most common. We propose a new, biologicallymotivated quantification of “movement smoothness”: submovement overlap. In previous work, changes in submovements have been linked to changes in movement smoothness. Further investigation revealed that in...