Like to raise the inspection as the quality of the picture, noise and enhance the image of the test is the image of the main objective. Its main objective is to reinforce the edge of specific characteristics for the measurement. This article against partial differential equations(PDE) in image processing the application of the study and learn and form the operator combines to form, based on the...

In this paper, the author researched on the model of image denoising based on the fusion of anisotropic diffusion and total variation models. The noise is present at almost all data. The noise can degrade image quality, as a result the interpretations and analysis of the image will be much harder. Denoising is the process of reducing the noise.

A discretization of heterogeneous and anisotropic diffusion problems on general discretization meshes is developed and studied. The unknowns of this scheme are the values at the center of the control volumes and at some internal interfaces, chosen because of some irregularity of the diffusion tensor. If the tensor is regular enough, the values on the interfaces may be deduced from the values at...

In this paper the most significant and recent polarimetric SAR (PolSAR) speckle filters that have been developed so far are reviewed and the effects of them on classification and their ability to preserve polarimetric properties along with their strength in noise reduction are studied. For this purpose, the PolSAR filters such as refined Lee, intensity driven adaptive neighborhood (IDAN), scatt...

In this paper, we present a novel adaptive thresholding technique based upon an anisotropic diffusion model, which may be referred to as the anti-geometric heat flow. In contrast to its more popular counterparts (such as the geometric heat flow) which diffuse parallel to image edges, this model diffuses perpendicular to image edges, yielding surfaces which are naturally suited for adaptive thre...

An energy model-based approach for estimating object boundaries is presented. We study a particular energy, which minimizer can be determined. The method estimates the unknown number of objects and draws object boundaries by selecting the “best” level lines computed from level sets of the original image. Unlike previous standard methods, the proposed method does not require iteration for minimi...

This paper deals with the reconstruction of original image structure in the presence of local disturbances such as specular reflections. It presents two novel schemes for their elimination with respect to the local image structure: an efficient linear interpolation scheme and an iterative filling-in approach employing anisotropic diffusion. The algorithms are evaluated on images of the heart su...

Abstract: A discretization of heterogeneous and anisotropic diffusion problems on general nonconforming meshes is developed and studied. The unknowns of this scheme are the values at the center of the control volumes and at some internal interfaces, chosen because of some irregularity of the diffusion tensor. If the tensor is regular enough, the values on the interfaces may be deduced from the ...

We present application of curvature-driven min/max flow and anisotropic diffusion in processing posterior capsular (PCO) images. PCO images present the back surface of the lens implanted during cataract surgery and are used to monitor the state of patient vision. Our standard segmentation technique which based on variance based co-occurrence matrices often requires an enhancement of variance im...

A variational approach to derive a piecewise constant conservative approximation of anisotropic diffusion equations is presented. A priori error estimates are derived assuming usual mesh regularity constraints and a posteriori error indicator is proposed and analyzed for the model problem.