Application of machine-vision techniques to fish-quality assessment

被引：87

作者：

Dowlati, Majid ^{[1
,2
]}

Mohtasebi, Seyed Saeid ^{[2
]}

de la Guardia, Miguel ^{[1
]}

机构：

[1] Univ Valencia, Dept Analyt Chem, E-46100 Burjassot, Spain

[2] Univ Tehran, Fac Agr Engn & Technol, Dept Agr Machinery Engn, Karaj, Iran

来源：

TRAC-TRENDS IN ANALYTICAL CHEMISTRY | 2012年 / 40卷

关键词：

Color analysis; Defect; Fish; Image analysis; Image processing; Inspection; Machine vision; Non-destructive method; Quality assessment; Visible range; SALMON SALMO-SALAR; TROUT ONCORHYNCHUS-MYKISS; COMPUTER VISION; IMAGE-ANALYSIS; RIGOR-MORTIS; PRE-RIGOR; MEASURING COLOR; FOOD-PRODUCTS; FILLETS; WEIGHT;

D O I：

10.1016/j.trac.2012.07.011

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

Machine vision is a non-destructive, rapid, economic, consistent and objective inspection tool and is also an evaluation technique based on image analysis and processing with a variety of applications. We review the use of machine vision and imaging technologies for fish-quality assessment. This review updates and condenses a representative selection of recent research and industrial solutions proposed in order to evaluate the general trends of machine vision and image processing in the visible range applied for inspection of fish and fish products. In order to determine freshness and composition, it is necessary to measure and to evaluate size and volume, to estimate weight, to measure shape parameters, to analyze skin and fillet in different color shades, to recognize fish species and sex, and to detect defects. Considering the overall trends, we propose some future directions for research. (C) 2012 Elsevier Ltd. All rights reserved.

引用

页码：168 / 179

页数：12

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