In electrical impedance tomography, we aim to solve the conductivity within a target body through measurements made on surface of target. This inverse problem is severely ill-posed, especially in real applications with only partial boundary data available. Thus regularization has be introduced. Conventionally promoting smooth features used, however, Mumford--Shah regularizer familiar for image ...

ISSN: 2231-2803 www.internationaljournalssrg.org Page 174 A survey on Human Computer Interaction Mechanism Using Finger Tracking Ms.Kinjal N. Shah, Mr.Kirit R. Rathod, Mr.Shardul J. Agravat (Computer Engineering Dept., P G Student, C U Shah College of Engineering and Technology, India) (Computer Engineering Dept, Asst. Professor, C U Shah College of Engineering and Technology, India) (Computer ...

Hyperspectral images provide a rich representation of the underlying spectrum for each pixel, allowing pixel-wise classification/segmentation into different classes. As acquisition labeled training data is very time-consuming, unsupervised methods become crucial in hyperspectral image analysis. The spectral variability and noise make this task challenging define special requirements such method...

Abstract. The Mumford-Shah model is one of the most important image segmentation models, and has been studied extensively in the last twenty years. In this paper, we propose a two-stage segmentation method based on the Mumford-Shah model. The first stage of our method is to find a smooth solution g to a convex variant of the Mumford-Shah model. Once g is obtained, then in the second stage, the ...

This paper presents a new algorithm based on the Mumford-Shah model for simultaneously detecting the edge features of two images and jointly estimating a consistent set of transformations to match them. Compared to the current asymmetric methods in the literature, this fully symmetric method allows one to determine one-to-one correspondences between the edge features of two images. The entire v...

Image inpainting is an image restoration problem, in which image models play a critical role, as demonstrated by Chan, Kang and Shen’s recent inpainting schemes based on the bounded variation [10] and the elastica [9] image models. In the present paper, we propose two novel inpainting models based on the MumfordShah image model [37], and its high order correction — the Mumford-Shah-Euler image ...

In contemporary image and vision analysis, stochastic approaches demonstrate great flexibility in representing and modeling complex phenomena, while variational-PDE methods gain enormous computational advantages over Monte Carlo or other stochastic algorithms. In combination, the two can lead to much more powerful novel models and efficient algorithms. In the current work, we propose a stochast...