In this paper, we implement an approach for stereo matching. Our algorithm is based on the approach proposed in [1]. The algorithm suffers from a deficiency that the information crosses the disparity levels and hence leads to a plain image later. We suggest some results to improve the performance of the algorithm using some common segmentation techniques.

Photometric Stereo technology can be used for 3D measurement and shape recovering. Point on the object can be detected in different images taken from different points of view, and the distance can be obtained according to the parallax. In this paper, binocular stereo vision was applied, using only one camera configuration with crossed axis and a rotating flat. So the effects caused by position ...

2014 If a (d 2014 1)-dimensional surface of a d-dimensional semi-infinite medium has a concentration pS different from the bulk concentration pB one may imagine that percolation is possible even if both pB and pS are below the dand (d 2014 1)-dimensional threshold, respectively. We give simple arguments, partly confirmed by Monte Carlo experiment, why this effect occurs for d = 3 but not for d ...

patients and methods previously recorded data of 231 patients who underwent surgical closure of vsd between january 2009 and january 2012 at the rajaie cardiovascular medical and research center were retrospectively reviewed. vsd surgical repair was performed using continues suturing technique in group a patients (n = 163, 70.6%) and interrupted suturing technique in group b patients (n = 68, 2...

We consider fluctuations of defects density taking into account their interaction. Stochastic field of displacement generation rate gives random defect distribution. We determinate statistical characteristics (mean and dispersion) of random field of point defect distribution as function of defect generation parameters, temperature and properties of irradiated crystal. Keywords—Irradiation, Prim...

In this research, we consider an application of the Bayesian Inferences in machine replacement problem. The application is concerned with the time to replace two machines producing a specific product; each machine doing a special operation on the product when there are manufacturing defects because of failures. A common practice for this kind of problem is to fit a single distribution to the co...

This work introduces RADIUS, a framework for anomaly detection in sewer pipes using stereovision. The employs three-dimensional geometry reconstruction from stereo vision, followed by statistical modeling of the with generic pipe model. is designed to be compatible existing workflows defect detection, as well provide opportunities machine learning implementations future. We test on 48 image set...