PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
A software tool was developed for application to thermographic images of canines to identify syrinx or no-syrinx classes in dogs exhibiting Chiari malformation. The MATLAB CVIP Toolbox was used to create a Graphical User Interface (GUI) for feature extraction and pattern classification. The thermographic images were obtained from the Long Island Veterinary Specialists (LIVS). Histogram and texture features were extracted from the images and used for pattern classification. Efficacy of the new development tool is shown by this initial investigation and the potential of such custom software tools in automating the research and development of medical diagnostic procedures makes it a valuable approach.
A. Karlapalem,J. Cuellar ,S. E. Umbaugh,D. J. Marino, andJ. Sackman
"Detection of syrinx in thermographic images of canines with Chiari malformation using MATLAB CVIP toolbox GUI", Proc. SPIE 11004, Thermosense: Thermal Infrared Applications XLI, 1100405 (2 May 2019); https://doi.org/10.1117/12.2519112
ACCESS THE FULL ARTICLE
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
The alert did not successfully save. Please try again later.
A. Karlapalem, J. Cuellar , S. E. Umbaugh, D. J. Marino, J. Sackman, "Detection of syrinx in thermographic images of canines with Chiari malformation using MATLAB CVIP toolbox GUI," Proc. SPIE 11004, Thermosense: Thermal Infrared Applications XLI, 1100405 (2 May 2019); https://doi.org/10.1117/12.2519112