Pattern Recognition


 In order to enable machines with capabilities of recognition automatically, patterns from the raw data are learned through the extracted important features. Machine learning tools usually are used for classification, clustering, function estimation and regression depending upon the problem.



<Basic components of Pattern Recognition Systems>



  Features in Nodule detection system

<Features in nodule detection system>



  • At SIPL, pattern recognition techniques have been utilized 3D shape Recovery and Medical Image Processing.


  • Neural Networks
  • Support Vector machine
  • Genetic Algorithms
  • Genetic Programming
  • Non-parametric regression
  • Gaussian process Regression



GP based optimal depth estimation scheme

<GP based optimal depth estimation scheme>



  Digital Watermarking
  Intelligent Digital Satellite Receiver System
  PCB Soldering Inspection
  Digital Signal Processing
  Image Processing
  Machine/Robot Vision
  Statistical Signal Processing
  Pattern Recognition
  Image Compression


Digital Video


Visual Communications