نویسندگان
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسندگان [English]
Due to the problems of body weight measurement methods directly (e.g. being stressful for both farmers and animals), a method based on digital images for determination of growth rate and body size of various animals have been proposed. However, determination of animal's physical characteristics along with head conveyed significant errors in body dimensions due to frequent changes of its position. Therefore, the aim of this study was to reduce prediction error of chicken weight with removing its head using active shape model. After removing chickens’ head between area and perimeter of chickens’ body with actual weight, regression models were developed and its results was compared with Otsu segmentation method. The correlation coefficients obtained from active shape model between actual weight with area and perimeter were ??% and ??% respectively; and these coefficients are higher then Otsu method (??% and ??%, respectively, for actual weight with the area and perimeter), therefore, removing head using active shape model increased prediction precision of live body weight.
کلیدواژهها [English]
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