Application of machine vision technique in sensory testing of aquatic foods

Abstract

Abstract: Abstract: Machine vision technique is a non-destructive, fast and economical inspection technology. Based on the analysis of the current research status at our country and abroad, the advantages of machine vision system and the detection method associated with color, shape and size are introduced in the present paper. On this basis, the application of machine vision technique is discussed and analyzed carefully in aquatic products such as fish, shrimp, scallops and oysters, et al. In addition, the limitation of machine vision technique in the sensory detection applications of aquatic foods is found and the development prospects in deep learning is discussed. The purpose of this paper is to provide technical support for sensory testing of aquatic foods to ensure consumer safety.

Key words: Key words: Machine vision, Image analysis, Aquatic food, Sensory detection

CLC Number:

TS207.3

Zhi-Xin JIA. Application of machine vision technique in sensory testing of aquatic foods[J]. FOOD SCIENCE, 0, (): 0-0.

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