Introduction: Lung cancer is one of the most common causes of cancer-related deaths worldwide. Nowadays PET/CT plays an essential role in radiotherapy planning specially for lung tumors as it provides anatomical and functional information simultaneously that is effective in accurate tumor delineation. The optimal segmentation method has not been introduced yet, however several ...

Recent advances in the joint processing of a set images have shown its advantages over individual processing. Unlike existing works geared towards co-segmentation or co-localization, this article, we explore new topic: image co-skeletonization, which is defined as skeleton extraction foreground objects an collection. It well known that object skeletonization single natural challenging, because ...

Semi-supervised video object segmentation is a task of propagating instance masks given in the first frame to entire video. It challenging since it usually suffers from heavy occlusions, large deformation, and variations objects. To alleviate these problems, many existing works apply time-consuming techniques such as fine-tuning, post-processing, or extracting optical flow, which makes them int...

A new interactive image co segmentation algorithm using possibility estimation and higher order energy is proposed for extracting general foreground objects from a group of interrelated images. Our approach introduces the higher order cliques, energy into the co segmentation optimization process successfully. A region based likelihood estimation procedure is first performed to provide the prima...

This paper describes the techniques we explored to improve the translation of news text in the German-English and Hungarian-English tracks of the WMT09 shared translation task. Beginning with a convention hierarchical phrase-based system, we found benefits for using word segmentation lattices as input, explicit generation of beginning and end of sentence markers, minimum Bayes risk decoding, an...

The development and application of various remote sensing platforms result in the production of huge amounts of satellite image data. Therefore, there is an increasing need for effective querying and browsing in these image databases. In order to take advantage and make good use of satellite images data, we must be able to extract meaningful information from the imagery. Hence we proposed a new...

When the foreground objects have variegated appearance and/or manifest articulated motion, not to mention the momentary occlusions by other unintended objects, a segmentation method based on single video and a bottom-up approach is often insufficient for their extraction. In this paper, we present a video co-segmentation method to address the aforementioned challenges. Departing from the object...

Segmentation of a single image is in general a highly underconstrained problem. A frequent approach to solve it is to somehow provide prior knowledge or constraints on how the objects of interest look like (in terms of their shape, size, color, location or structure). Image co-segmentation trades the need for such knowledge for something much easier to obtain, namely, additional images showing ...