image processing research paper

Image processing for the study of bedload transport of two-size spherical particles in a supercritical flow
  C Barat ,Experiments in , 2010 ,Springer
Abstract Bedload sediment transport of two-size coarse spherical particle mixtures in a
turbulent supercritical flow was analyzed with image and particle tracking velocimetry
algorithms in a two-dimensional flume. The image processing procedure is entirely 

coded imagers: improving lens speed, depth-of-field, and manufacturing yield through enhanced spherical aberration and compensating image processing
MD Robinson, G Feng, DG Stork ,SPIE Novel Optical , 2009 ,
ABSTRACT Recently, joint analysis and optimization of both the optical sub-system and the
algorithmic capabilities of digital processing have created new digital-optical imaging
systems with system-level benefits. We explore a special class of digital-optical imaging 

Frequency pattern of turbulent flow and sediment entrainment over ripples using image processing
A Keshavarzi, J Ball ,Hydrol. Earth Syst. Sci, 2012
Abstract. River channel change and bed scourings are source of major environmental
problem for fish and aquatic habitat. The bed form such as ripples and dunes is the result of
an interaction between turbulent flow structure and sediment particles at the bed. The 

Image processing and classification procedures for analysis of sub-decimeter imagery acquired with an unmanned aircraft over arid rangelands
AS Laliberte ,GIScienceRemote Sensing, 2011 ,Bellwether Publishing
Unmanned aerial systems (UAS) have great potential as a platform for acquiring very high
resolution aerial imagery for vegetation mapping. However, image processing and
classification techniques require adaptation to images obtained with low-cost digital 

Solving ill-posed image processing problems using data assimilation
D Béréziat ,Numerical Algorithms, 2011 ,Springer
Abstract Data Assimilation is a mathematical framework used in environmental sciences to
improve forecasts performed by meteorological, oceanographic or air quality simulation
models. It aims to solve an evolution equation, describing the temporal dynamics, and an 

Cardiac phase-correlated image reconstruction and advanced image processing in pulmonary CT imaging
RM Lapp, M Kachelrieß, D Ertel, Y Kyriakou ,European , 2009 ,Springer
Abstract Image quality in pulmonary CT imaging is commonly degraded by cardiac motion
artifacts. Phase-correlated image reconstruction algorithms known from cardiac imaging can
reduce motion artifacts but increase image noise and conventionally require a 

R Soria, UC EPS III, A Sanchis ,2009 ,
Abstract In this work, a new approach to region growing problem is presented. The region
growing procedure is modified in order to apply a fuzzy knowledge based system to
evaluate the distance between a pixel and the region. This fuzzy colour distance is based 

A GPU-accelerated framework for image processing and computer vision
 , A Agarwal ,Advances in Visual , 2008 ,Springer
This paper presents briefly the state of the art of accelerating image processing with
graphics hardware (GPU) and discusses some of its caveats. Then it describes GpuCV, an
open source multi-platform library for GPU-accelerated image processing and Computer 

An Architecture with Integrated Image Processing for Autonomous Micro Aerial Vehicles
C Dernehl, D Franke, H Diab ,2011 ,
ABSTRACT This paper presents an overall MAV design with an integrated camera system. It
shows the integration of the camera into the hardware and software architecture and how
camera information can be used within the logical design for improving flight control. The 

Cognitive processes in eye guidance: algorithms for attention in image processing

G Underwood ,Cognitive Computation, 2009 ,Springer
Abstract When inspecting an image for the first time, how does the viewer decide where to
look next? The saliency map hypothesis proposes that viewers initially analyse the image for
variations in low-level visual features including intensity, colour, and edge orientation, and 

An integrated platform for dynamic cardiac simulation and image processing: application to personalised tetralogy of fallot simulation
  T Mansi, H Delingette , Workshop on Visual , 2008 ,
Abstract Processing and visualisation of dynamic data is still a common challenge in
medical imaging, especially as for many applications there is an increasing amount of
clinical data as well as generated data, such as in cardiac modelling. In this context, there 

Enhancement of Highly Degraded and Distorted Text Images using Image Processing
RK Saini , Conference on Recent Advances and Future , 2012 ,
ABSTRACT This paper presents the algorithm to extract the text from the degraded and
distorted images based on pattern recognition techniques used in image processing.
Degraded images are quite often observed in old manuscripts, where it is strongly needed 

Minimum Sobolev Norm schemes and applications in image processing
S Chandrasekaran, KR Jayaraman, J Moffitt ,Proc. SPIE, 2010 ,
ABSTRACT This paper describes an extension of the Minimum Sobolev Norm interpolation
scheme to an approximation scheme. A fast implementation of the MSN interpolation
method using the methods for Hierarchical Semiseparable (HSS) matrices is described 

Fire Recording or Image Sequence Processing and Statistical Analysis
JA Lanz-O’Brien ,2011 ,
 use by forest fire managers. It is useful to analyze small fires under experimentally
controlled conditions to test the quality of this image processing system and check
assumptions made by fire spread models. A series of figures 

Dual channel addition based FFT processor architecture for signal and image processing
SK Sahoo, C Shekhar, S Kodali ,International Journal of , 2009 ,Inderscience
This paper presents a novel fixed-point 16-bit word-width 16-point FFT/IFFT processor
architecture designed primarily for the signal and image processing application. The 16-
point FFT is realised by using Cooley-Tukey decimation in time algorithm. This approach 

A Tool for Implementing and Evaluating Image Processing Algorithms inside FPGA Circuits
E Guzmán, I García ,Computer Recognition Systems 4, 2011 ,Springer
This paper aims to show the design and implementation of an integral environment for
developing algorithms for digital images processing and analysis on reconfigurable logic.
Our tool was divided in four modules. The first module designs a specific application 

COMMENT computer science, image processing, research papers


    new paper added july 2012