SlideShare a Scribd company logo
DOTNET IEEE PROJECT – IMAGE 
PROCESSING
•A New Algorithm for Inferring User Search Goals with Feedback 
Sessions 
•An Effective Image Boundary Processing for $mbi{M}$ -Channel 
Lifting-Based Linear-Phase Filter Banks 
•An FPGA-Based Fully Synchronized Design of a Bilateral Filter for 
Real-Time Image Denoising 
•Local Directional Number Pattern for Face Analysis: Face and 
Expression Recognition 
•Moving Target Analysis in ISAR Image Sequences With a Multiframe 
Marked Point Process Model 
•Optimal Camera Planning Under Versatile User Constraints in 
MultiCamera Image Processing Systems
•Partial Difference Operators on Weighted Graphs for Image 
Processing on Surfaces and Point Clouds 
•Polarimetric Study of MMW Imaging Radars for Indoor Navigation 
and Mapping 
•Supervised Image Processing Learning for Wall MARFE Detection 
Prior to Disruption in JET With a Carbon Wall 
•Task-Tree Based Large-Scale Mosaicking for Massive Remote 
Sensed Imageries with Dynamic DAG Scheduling 
•Ultrasonic imaging of complex specimens by processing multiple 
incident angles in full-angle synthetic aperture focusing technique 
•Void Detection in TSVs With X-Ray Image Multithreshold 
Segmentation and Artificial Neural Networks
Thank You 
For More Details Log on to 
WWW.CEGONSOFT.ORG or Contact 
Sindhu 8494903869

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image processing - IEEE dotnet project || Dotnet - IEEE projects in image processing || image processing Dotnet ieee projects 2014-2015

  • 1. DOTNET IEEE PROJECT – IMAGE PROCESSING
  • 2. •A New Algorithm for Inferring User Search Goals with Feedback Sessions •An Effective Image Boundary Processing for $mbi{M}$ -Channel Lifting-Based Linear-Phase Filter Banks •An FPGA-Based Fully Synchronized Design of a Bilateral Filter for Real-Time Image Denoising •Local Directional Number Pattern for Face Analysis: Face and Expression Recognition •Moving Target Analysis in ISAR Image Sequences With a Multiframe Marked Point Process Model •Optimal Camera Planning Under Versatile User Constraints in MultiCamera Image Processing Systems
  • 3. •Partial Difference Operators on Weighted Graphs for Image Processing on Surfaces and Point Clouds •Polarimetric Study of MMW Imaging Radars for Indoor Navigation and Mapping •Supervised Image Processing Learning for Wall MARFE Detection Prior to Disruption in JET With a Carbon Wall •Task-Tree Based Large-Scale Mosaicking for Massive Remote Sensed Imageries with Dynamic DAG Scheduling •Ultrasonic imaging of complex specimens by processing multiple incident angles in full-angle synthetic aperture focusing technique •Void Detection in TSVs With X-Ray Image Multithreshold Segmentation and Artificial Neural Networks
  • 4. Thank You For More Details Log on to WWW.CEGONSOFT.ORG or Contact Sindhu 8494903869