scholarly journals Managing Algorithmic Skeleton Nesting Requirements in Realistic Image Processing Applications: The Case of the SKiPPER-II Parallel Programming Environment's Operating Model

2005 ◽  
Vol 2005 (7) ◽  
Author(s):  
Rémi Coudarcher ◽  
Florent Duculty ◽  
Jocelyn Serot ◽  
Frédéric Jurie ◽  
Jean-Pierre Derutin ◽  
...  
Keyword(s):  
Image Processing ◽  
Parallel Programming ◽  
Operating Model ◽  
Realistic Image ◽  
Algorithmic Skeleton

Improved Color Image Segmentation Algorithm Based on GrabCut

2013 ◽  
Vol 373-375 ◽  
pp. 464-467 ◽  
Author(s):  
Wang Rui ◽  
Jin Ye Peng ◽  
Li Ping Che ◽  
Yu Ting Hou
Keyword(s):  
Image Processing ◽  
Image Segmentation ◽  
Color Image ◽  
Implementation Process ◽  
Gaussian Mixture ◽  
Extraction Process ◽  
User Participation ◽  
Segmentation Algorithm ◽  
Color Image Segmentation ◽  
Realistic Image

In realistic image processing, it is a problem of image foreground extraction. For a large number of color image processing, an important requirement is the automation of the extraction process. In this paper, by automatically setting foreground seed, we improve the image existing segmentation algorithm; by automatically searching image segmentation region, we accomplish image segmentation with the GrabCut algorithm, which is based on Gaussian Mixture Model and boundary computing. The improved algorithm in this paper can achieve the automation of image segmentation, without user participation in the implementation process, at the same time, it improves the efficiency of image segmentation, and gets a good result of image segmentation in complex background.

RAM ALLOCATION ALGORITHM FOR VIDEO PROCESSING APPLICATIONS ON FPGA

2006 ◽  
Vol 15 (05) ◽  
pp. 679-699 ◽  
Author(s):  
NAJEEM LAWAL ◽  
BENNY THÖRNBERG ◽  
MATTIAS O'NILS ◽  
HÅKAN NORELL
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Video Processing ◽  
Cost Effective ◽  
Experimental Results ◽  
Allocation Algorithm ◽  
Realistic Image ◽  
On Chip

This paper presents an algorithm for the allocation of on-chip FPGA Block RAMs for the implementation of Real-Time Video Processing Systems. The effectiveness of the algorithm is shown through the implementation of realistic image processing systems. The algorithm, which is based on a heuristic, seeks the most cost-effective way of allocating memory objects to the FPGA Block RAMs. The experimental results obtained, show that this algorithm generates results which are close to the theoretical optimum for most design cases.

Optimizing image processing on multi-core CPUs with Intel parallel programming technologies

2011 ◽  
Vol 68 (2) ◽  
pp. 237-251 ◽  
Author(s):  
Cheong Ghil Kim ◽  
Jeom Goo Kim ◽  
Do Hyeon Lee
Keyword(s):  
Image Processing ◽  
Parallel Programming

A survey of algorithmic skeleton frameworks: high-level structured parallel programming enablers

2010 ◽  
Vol 40 (12) ◽  
pp. 1135-1160 ◽  
Author(s):  
Horacio González-Vélez ◽  
Mario Leyton
Keyword(s):  
Parallel Programming ◽  
Algorithmic Skeleton ◽  
High Level

Some comments about observations and image processing of comet 29P/Schwassmann-Wachmann 1

1999 ◽  
Vol 173 ◽  
pp. 243-248
Author(s):  
D. Kubáček ◽  
A. Galád ◽  
A. Pravda
Keyword(s):  
Image Processing ◽  
Large Scale ◽  
Harvard College ◽  
Oak Ridge ◽  
Large Scale Structures ◽  
Short Period Comet ◽  
Short Period ◽  
Scale Structures ◽  
Harvard College Observatory ◽  
Period Comet

AbstractUnusual short-period comet 29P/Schwassmann-Wachmann 1 inspired many observers to explain its unpredictable outbursts. In this paper large scale structures and features from the inner part of the coma in time periods around outbursts are studied. CCD images were taken at Whipple Observatory, Mt. Hopkins, in 1989 and at Astronomical Observatory, Modra, from 1995 to 1998. Photographic plates of the comet were taken at Harvard College Observatory, Oak Ridge, from 1974 to 1982. The latter were digitized at first to apply the same techniques of image processing for optimizing the visibility of features in the coma during outbursts. Outbursts and coma structures show various shapes.

Analysis of the 9th November 1990 flare

2000 ◽  
Vol 179 ◽  
pp. 229-232
Author(s):  
Anita Joshi ◽  
Wahab Uddin
Keyword(s):  
Image Processing ◽  
Two Dimensional ◽  
Temporal Behaviour ◽  
Contour Maps ◽  
Dimensional Measurements ◽  
Processing Software ◽  
Image Processing Software

AbstractIn this paper we present complete two-dimensional measurements of the observed brightness of the 9th November 1990Hαflare, using a PDS microdensitometer scanner and image processing software MIDAS. The resulting isophotal contour maps, were used to describe morphological-cum-temporal behaviour of the flare and also the kernels of the flare. Correlation of theHαflare with SXR and MW radiations were also studied.

The 'well-known' theory of electron image formation

1983 ◽  
Vol 41 ◽  
pp. 288-289
Author(s):  
M.A. O'Keefe ◽  
W.O. Saxton
Keyword(s):  
Image Processing ◽  
Image Formation ◽  
Source Profiles ◽  
Electron Image

A recent paper by Kirkland on nonlinear electron image processing, referring to a relatively new textbook, highlights the persistence in the literature of calculations based on incomplete and/or incorrect models of electron imageing, notwithstanding the various papers which have recently pointed out the correct forms of the appropriate equations. Since at least part of the problem can be traced to underlying assumptions about the illumination coherence conditions, we attempt to clarify both the assumptions and the corresponding equations in this paper, illustrating the effects of an incorrect theory by means of images calculated in different ways.The first point to be made clear concerning the illumination coherence conditions is that (except for very thin specimens) it is insufficient simply to know the source profiles present, i.e. the ranges of different directions and energies (focus levels) present in the source; we must also know in general whether the various illumination components are coherent or incoherent with respect to one another.

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