fracture system in carbonate reservoirs is very complex. understanding the features of fractures such as dip, strike and the other parameters can help to distinguish the behaviour of reservoir in any exploration and production plan. image log is the best way to investigate feature planes like fracture and bedding. image log in one of drilled well #10x393 of bangestan reservoir in gachsaran oilf...

recognition of relationship between the present day stress state and fractures is very important in fractured reservoirs. fractures that are parallel or oblique to maximum horizontal stress have more tendencies to tensile deformation and tensile deformed fractures will be more permeable. the dalan formation is one of the main gas reservoirs of iran witch most of the production from this formati...

Blind image deconvolution, a technique for obtaining restored as well the blur kernel from an inexact image. This research uses spatial characteristics to tackle problem of blind deconvolution. To work, proposed method does not necessitate prior information about kernel. Many applications, such remote sensing, astronomy, and medical X-ray imaging, deconvolution algorithms. study used maximum po...

TO BE DONE

Template matching is a widely used technique in many of image processing and machine vision applications. In this paper we propose a new as well as a fast and reliable template matching algorithm which is invariant to Rotation, Scale, Translation and Brightness (RSTB) changes. For this purpose, we adopt the idea of ring projection transform (RPT) of image. In the proposed algorithm, two novel s...

template matching is a widely used technique in many of image processing and machine vision applications. in this paper we propose a new as well as a fast and reliable template matching algorithm which is invariant to rotation, scale, translation and brightness (rstb) changes. for this purpose, we adopt the idea of ring projection transform (rpt) of image. in the proposed algorithm, two novel s...

Introduction: Appropriate definition of the distance measure between diffusion tensors has a deep impact on Diffusion Tensor Image (DTI) segmentation results. The geodesic metric is the best distance measure since it yields high-quality segmentation results. However, the important problem with the geodesic metric is a high computational cost of the algorithms based on it. The main goal of this ...