Paper
6 July 2015 Image acquisitions, processing and analysis in the process of obtaining characteristics of horse navicular bone
M. Zaborowicz, J. Włodarek, A. Przybylak, K. Przybył, D. Wojcieszak, W. Czekała, A. Ludwiczak, P. Boniecki, K. Koszela, J. Przybył, J. Skwarcz
Author Affiliations +
Proceedings Volume 9631, Seventh International Conference on Digital Image Processing (ICDIP 2015); 963111 (2015) https://doi.org/10.1117/12.2196922
Event: Seventh International Conference on Digital Image Processing (ICDIP15), 2015, Los Angeles, United States
Abstract
The aim of this study was investigate the possibility of using methods of computer image analysis for the assessment and classification of morphological variability and the state of health of horse navicular bone. Assumption was that the classification based on information contained in the graphical form two-dimensional digital images of navicular bone and information of horse health. The first step in the research was define the classes of analyzed bones, and then using methods of computer image analysis for obtaining characteristics from these images. This characteristics were correlated with data concerning the animal, such as: side of hooves, number of navicular syndrome (scale 0-3), type, sex, age, weight, information about lace, information about heel. This paper shows the introduction to the study of use the neural image analysis in the diagnosis of navicular bone syndrome. Prepared method can provide an introduction to the study of non-invasive way to assess the condition of the horse navicular bone.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
M. Zaborowicz, J. Włodarek, A. Przybylak, K. Przybył, D. Wojcieszak, W. Czekała, A. Ludwiczak, P. Boniecki, K. Koszela, J. Przybył, and J. Skwarcz "Image acquisitions, processing and analysis in the process of obtaining characteristics of horse navicular bone", Proc. SPIE 9631, Seventh International Conference on Digital Image Processing (ICDIP 2015), 963111 (6 July 2015); https://doi.org/10.1117/12.2196922
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KEYWORDS
Bone

Image processing

Image analysis

Image acquisition

Analytical research

Image classification

Digital image processing

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