Journal of Biosystems Engineering
- Volume 24 Issue 5
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- Pages.431-438
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- 1999
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- 1738-1266(pISSN)
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- 2234-1862(eISSN)
Development of Classification System for Thermal Comfort Behavior of Pigs by Image Processing and Neural Network
영상처리와 인공신경망을 이용한 돼지의 체온조절행동 분류 시스템 개발
Abstract
The environmental control based on interactive thermoregulatory behavior for swine production has many advantages over the conventional temperature-based control methods. Therefore, this study was conducted to compare various feature selection methods using postural images of growing pigs under various environmental conditions. A color CCD camera was used to capture the behavioral images which were then modified to binary images. The binary images were processed by thresholding, edge detection, and thinning techniques to separate the pigs from their background. Following feature were used for the input patterns to the neural network ; \circled1 perimeter, \circled2 area, \circled3 Fourier coefficients (5
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