Meat traceability is important for linking process and quality parameters from the individual meat cuts back to the production data from the farmer that produced the animal. Current tracking systems rely on physical tagging, which is too intrusive for individual meat cuts in a slaughterhouse environment. In this article, we demonstrate a computer vision system for recognizing meat cuts at diffe...

Algorithms or target functions for graph clustering rarely admit quality guarantees or optimal results in general. However, a hierarchical clustering algorithm by Flake et al., which is based on minimum s-t-cuts whose sink sides are of minimum size, yields such a provable guarantee. We introduce a new degree of freedom to this method by allowing arbitrary minimum s-t-cuts and show that this unr...

The causes of malalignment in total knee arthroplasty can be categorized into three different groups; 1) Errors in bone cuts 2) Errors in implant fixations, and 3) The method of setting down the cutting guides (1). We would like to announce that more several distal femoral valgus cut errors may occur during total knee replacement.

In this paper we review the Disjunctive Decomposition (D) algorithm for two-stage Stochastic Mixed Integer Programs (SMIP). This novel method uses the principles of disjunctive programming to develop cuttingplane-based approximations of the feasible set of the second stage problem. At the core of this approach is the Common Cut Coefficient Theorem, which provides a mechanism for transforming cu...

We present a graph cuts-based image segmentation technique that incorporates an elliptical shape prior. Inclusion of this shape constraint restricts the solution space of the segmentation result, increasing robustness to misleading information that results from noise, weak boundaries, and clutter. We argue that combining a shape prior with a graph cuts method suggests an iterative approach that...

This paper proposes an approach to image segmentation using Iterated Graph Cuts based on local texture features of wavelet coefficients. Using Haar Wavelet based Multiresolution Analysis, the lowfrequency range (smoothed image) is used for the n-link and the highfrequency range (local texture features) is used for the t-link along with the color histogram. The proposed method can segment an obj...

Introduction Osteoarthritis (OA), which is a common cause of disability, is associated with degradation of articular cartilage. Quantitative evaluation of knee cartilage requires segmentation of the cartilage which is challenging and laborious. For instance, manual delineation of cartilage boundaries by an expert often results in several hours per case and is subject to analyst bias and error. ...