MEASUREMENT IN DIGITAL MICROFLUIDICS Gaurav J. Shah, Saman Sadeghi, Huijiang Ding, Supin Chen,, R. Michael van Dam Crump Institute for Molecular Imaging and Department of Molecular & Medical Pharmacology, Biomedical Engineering Department, University of California, Los Angeles, USA ABSTRACT In this paper, we report on simplified and improved impedance detection in digital microfluidics for meas...

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We study a regularized Mumford-Shah functional in the context of joint prior models for blur identification, blind image deconvolution and segmentation. For the ill-posed regularization problem, it is hard to find a good initial value for ensuring the soundness of the convergent value. A newly introduced prior solution space of point spread functions in a double regularized Bayesian estimation ...

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The Mumford-Shah functional has had a major impact on a variety of image analysis problems, including image segmentation and filtering, and, despite being introduced over two decades ago, it is still in widespread use. Present day optimization of the Mumford-Shah functional is predominated by active contour methods. Until recently, these formulations necessitated optimization of the contour by ...

In this work, we approach the classic Mumford-Shah problem from a curve evolution perspective. In particular, we let a given family of curves define the boundaries between regions in an image within which the data are modeled by piecewise smooth functions plus noise as in the standard Mumford-Shah functional. The gradient descent equation of this functional is then used to evolve the curve. Eac...