Development of Non-Destructive Detector for Abnormal Eggs

Nakano, K.; Usui, Yoshihiko; Motonaga, Yoshitaka; Mizutani, Jun

doi:10.1016/s1474-6670(17)32827-6

Cited by 4 publications

(3 citation statements)

References 4 publications

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“…In (Nakano et al, 2001) they proposed a single method to crack and dirt detection. This method used traditional image processing approaches such as edge detection, elimination of noise components, contour removal, among others, to find these two defects.…”

Section: Dirt and Crack Detectionmentioning

confidence: 99%

A Novel Method for Inspection Defects in Commercial Eggs Using Computer Vision

Valencia

Majin

Taveira

et al. 2021

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. The objective of this work is to compare the use of classical image processing approaches with deep learning approaches in a visual inspection system for defects in commercial eggs. Currently, many industries perform the detection of defects in eggs manually, this implies a large number of workers with long working hours who are exposed to visual fatigue and physical and mental discomfort. As a solution, this work proposes to develop an automatic inspection technique for defects in eggs using computer vision, capable of being operable in the industry. Different image processing approaches were evaluated in order to determine the best solution in terms of performance and processing time.

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Section: Dirt and Crack Detectionmentioning

confidence: 99%

A Novel Method for Inspection Defects in Commercial Eggs Using Computer Vision

Valencia

Majin

Taveira

et al. 2021

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…It was determined that the study was successful at a rate of 85.66%. Nakano et al developed an algorithm able to detect anomalies on the eggshell and blood spots which may occur inside the shell without breaking it. In experiments carried out on eggs in definite amount, the rate of successful determination was 98%.…”

Section: Introductionmentioning

confidence: 99%

A real time quality control application for animal production by image processing

Sungur

Özkan

2014

J Sci Food Agric

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“…Machine vision inspection works excellently for dirty shells, broken shells and odd shapes, however, detection of small cracks is more difficult (Goodrum et al, 1992;Patel et al, 1998;Nakano et al, 2000;Garcia-Alegre et al, 2000). The mechanical stiffness measurements were based on the measurement and analysis of the mechanical behavior of the eggshell (Nakano et al, 2001). Ketelare et al developed a method that eggshell crack detection was based on the analysis of the acoustically measured frequency response of an egg excited with a light mechanical impact on different locations on the eggshell equator.…”

Section: For Eggshells Based On Dspmentioning

confidence: 99%

Nondestructive Testing System for Eggshells Based on DSP

Jiang

Liu

et al.

Computer and Computing Technologies in Agriculture, Volume II

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In order to check and eliminate the cracked eggs quickly and exactly in the TMS320VC33 DSP as a hardware platform, and has many functions such as controlling knock-equipment, sampling and processing the acoustics signals, judging the cracked-shell eggs, communicating with the host computer etc. In order to improve the detecting accuracy, 6 characteristic parameters were extracted in cepstrum domain besides the common used characteristic parameters in frequency domain as candidate distinguishing factors. Step discriminant was used to optimize the combination of these characteristic then established the optimum discriminant functions of normal eggshells and cracked eggshells respectively according to the step discriminant result. The accurate recognition ratio for cracked eggs is up to 95.5 percent, and the system can check 12 eggs per sec, which satisfied the requirements of the process of egg products.

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Development of Non-Destructive Detector for Abnormal Eggs

Cited by 4 publications

References 4 publications

A Novel Method for Inspection Defects in Commercial Eggs Using Computer Vision

A Novel Method for Inspection Defects in Commercial Eggs Using Computer Vision

A real time quality control application for animal production by image processing

Nondestructive Testing System for Eggshells Based on DSP

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