Texas Tech University


AVL MISSION

The Applied Vision Laboratory conceives, designs, and implements computer vision
systems with applications in medicine and industry. Systems
developed at AVL aim to automate manual tasks
that require visual information processing and interpretation.

The applied research conducted at AVL includes:

  • machine learning and pattern recognition
  • computer vision
  • image segmentation via deformable models
  • 2-D and 3-D shape analysis
  • content-based image compression
  • texture modeling and characterization
  • feature extraction, analysis, and classification.


Right Now at AVL



2

Institutions


FROM


12

Research Projects


ARE EXPLORING


5

Fields of Science


ON OUR SYSTEMS...



HOW CAN AVL HELP?



RESEARCHERS

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INDUSTRY PARTNERS

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COLLEGE STUDENTS

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COMMUNITY OUTREACH

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OTHER PROJECTS



An IR-based Machine Vision System for Objective Quantification of Moisture Transport in Fabrics 1


Automatic Assessment of Fabric Wrinkles


Integrating Internal Properties into an Interactive Segmentation Framework


GPU-powered Machine Vision System for Simultaneous Quantification of Shrinkage and Stain Release on Solid and Patterned Fabrics




OUR RESEARCHERS


650.741.8802
mohak.kant@ttu.edu


650.741.8802
mohak.kant@ttu.edu


650.741.8802
mohak.kant@ttu.edu


650.741.8802
mohak.kant@ttu.edu


650.741.8802
mohak.kant@ttu.edu


650.741.8802
mohak.kant@ttu.edu





Electrical & Computer Engineering