Automatic eyes localization in thermal images for temperature measurement in cattle

Infrared thermography technology (IRT) is a non-invasive method that has been used to measure the temperature from Infrared images. The measured temperature can be correlated to evaluate health status. Due to the ability of IRT for measuring temperature remotely, IRT has succeeded widely in detecting a different kind of diseases and inflammations in the animal. Many studies pointed out that eye is the best region for measuring body temperature. Recent work deals with automation of the measurement as a part of the computer-aided diagnosis system. However, such system still based on localization of the eye manually. This paper proposes a novel automated method for eyes localization in cattle. The proposed algorithm is work based on masking the face by modified ellipse detection algorithm. It also extends to remove the consideration for the position and orientation of target animal. Experimental results show that proposed algorithm is working well for localization purpose and temperature measurement as the final result.