An Image Segmentation Technique -OEM for Plant Leaf Disease

Image segmentation plays a vital role in identifying plant leaf diseases. Hence it is considered as categorizing of a test image as set of non-continuous regions which are varied according to the features and its characteristics of the image along its properties in terms of homogeneous and computation on the grey level, texture and color component to provide easy image analysis. Familiar existing techniques for leaf disease segmentation use watershed method, thresholding and region based method. One applying these techniques, particular lesion represents a varied shape, texture and Color properties which makes the complex in the segmentation. In addition, these methods face several challenges such as inhomogeneous object detection and fragmentation. To combat those challenges, a segmentation model named as Object Evolution Mapping (OEM) has been proposed in this paper. It is developed for discretized representation of the inhomogeneous object based on the weight probability with specified limits. The disease affected area is considered as object, as affected region may appear in varied shape and texture, the proposed model strongly correlate those changes through error correction process. Furthermore abstraction building has been carried out by the objective function on the matrix for the determine the correlation of the pixel based on the shape and texture interpretation on the image. It extracts the inhomogeneous objects accurately by traversing the horizontally and vertically. Finally changes between the object is computed accurately on the each positions as pipeline procedure. Experimental results show that proposed OEM model provides the good result in terms execution time and accuracy on comparing it with existing approaches

An Efficient Hybrid Method for 3D Scattering from Inhomogeneous Object Buried beneath a Dielectric Randomly Rough Surface

An efficient iterative analytical-numerical method is proposed for three-dimensional (3D) electromagnetic scattering from an inhomogeneous object buried beneath a two-dimensional (2D) randomly dielectric rough surface. In the hybrid method, the electric and magnetic currents on the dielectric rough surface are obtained by current-based Kirchhoff approximation (KA), while the scattering from the inhomogeneous object is rigorously studied by finite element method (FEM) combined with the boundary integral method (BIM). The multiple interactions between the buried object and rough surface are taken into account by updating the electric and magnetic current densities on them. Several numerical simulations are considered to demonstrate the algorithm’s ability to deal with the scattering from the inhomogeneous target buried beneath a dielectric rough surface, and the effectiveness of our proposed method is also illustrated.

Error Analysis for the Finite Element Approximation of Transmission Eigenvalues

In this paper we consider the transmission eigenvalue problem corresponding to acoustic scattering by a bounded isotropic inhomogeneous object in two dimensions. This is a non-self-adjoint eigenvalue problem for a quadratic pencil of operators. In particular we are concerned with theoretical error analysis of a finite element method for computing the eigenvalues and corresponding eigenfunctions. Our analysis of convergence makes use of Osborn's perturbation theory for eigenvalues of non-self-adjoint compact operators. Some numerical examples are presented to confirm our theoretical error analysis.