2016
DOI: 10.1016/j.neucom.2015.06.095
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A practical framework for automatic food products classification using computer vision and inductive characterization

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Cited by 11 publications
(5 citation statements)
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“…The angular second moment (ASM) is a parameter that measures the homogeneity of an image [48], and ASM showed a time-dependent increment (Figure 6B). Samples with edible coating showed higher values than those without it.…”
Section: Image Analysismentioning
confidence: 99%
“…The angular second moment (ASM) is a parameter that measures the homogeneity of an image [48], and ASM showed a time-dependent increment (Figure 6B). Samples with edible coating showed higher values than those without it.…”
Section: Image Analysismentioning
confidence: 99%
“…Computer vision and inductive characterization with a limited number of characteristics have been provided [3] with three examples of how this framework has been effectively implemented to enhance the quality inspection process.…”
Section: Literature Surveymentioning
confidence: 99%
“…e direct sensory quality of agricultural goods is mostly indicated by their exterior quality. Exterior characteristics such as color, texture, size, form, and flaws are often used to assess product's quality [3]. While output and revenues are important, food manufacturing company administrators also take into account the product's prominence, the social context, and the problems faced by farmers in completing their agricultural chores [4].…”
Section: Introductionmentioning
confidence: 99%
“…Click here to view linked References security [2][3][4]; for example, the recent outbreak of desert locust in Africa. To prevent pest plagues and enable effective treatments, real-time information of pests (e.g.…”
Section: Manuscriptmentioning
confidence: 99%