A 2-D imaging-assisted geometrical transformation method for non-destructive evaluation of the volume and surface area of avian eggs

Abstract

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A universal formula for avian egg shape

“…The key message is that by introducing the universal egg shape formula we have expanded the arsenal of mathematics with another geometric figure that can safely be called a “real world” bird’s egg. The mathematical modelling of the egg shape and other egg parameters that we have presented here will be useful and important modus operandi for further stimulating the relevant theoretical and applied research in the fields of mathematics, engineering and biology ( Narushin et al, 2020a ).…”

“…For mathematical and standard statistical calculations, MS Excel and StatSoft programmes were exploited. As a part of our broader research project to develop more theoretical approaches for non-destructive evaluation of various characteristics of avian eggs ( Narushin et al, 2020a ), we did not handle eggs from wild birds or any valuable egg collection in this study. Where needed, we substituted actual eggs with their images and mathematical representational counterparts.…”

“…Described as “the most perfect thing” ( Birkhead, 2016 ), the avian egg is one of the most recognizable shapes in nature. Despite this, an expression of “oviform” or “egg-shaped” (a term used in common parlance) that is universally applicable to all birds has belied accurate description by mathematicians, engineers and biologists ( Narushin et al, 2020a ). Various attempts to derive such a standard geometric figure in this context that, like many other geometric figures, can be clearly described by a mathematical formula are nonetheless over 65 years old ( Preston, 1953 ).…”

A Review on Computer Vision Technology for Monitoring Poultry Farm—Application, Hardware, and Software

“…The main purpose of this process is to enhance the image quality for the segmentation step. Many image pre-processing methods have been used in researches including dilation and erosion [37], Otsu's method [37,41,44], image thresholding [59,62,57], gaussian filter [56][57]87], and binarization [41,62].…”

“…Computer vision has been widely used in various processes of different poultry production systems. It includes automation of the house management, behavior, and welfare [11,[29][30][31][32][33][34][35][36][37][38][39][40], disease detection [28,[41][42][43][44][45][46][47], weight measurement [27,[48][49], slaughtering process [50][51], carcass quality [52][53][54][55], and egg examination [56][57][58][59][60][61][62][63][64][65]. On the other hand, computer vision also popular on other livestock monitoring, such as pig [73][74][75][76][77][78][79][80], sheep or cattle …”