Texas Tech University

Applied Vision Lab

Current projects

High-Throughput Phenotyping of Cotton Plants

automatic detection of cotton bolls

Automatic detection of cotton bolls

Automatic Quail Call Detection

quail call being detected

Quail calls being detected automatically; the grey area is the spectrogram of an audio recording of the quail calls

Applied Vision Laboratory's 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
    • content-based image compression
    • machine learning and pattern recognition
    • texture modeling and characterization
    • feature extraction, analysis, and classification

Contact Dr. Hamed Sari-Sarraf (hamed.sari-sarraf@ttu.edu) if you are interested in doing research in any of those areas above, or if you have a project of your own that could be considered correlated to those areas.

Applied Vision Lab