FISH SPECIES RECOGNITION BY SHAPE-ANALYSIS OF IMAGES

被引：71

作者：

STRACHAN, NJC ^{[1
]}

NESVADBA, P ^{[1
]}

ALLEN, AR ^{[1
]}

机构：

[1] UNIV ABERDEEN,DEPT ENGN,ABERDEEN AB9 2UE,SCOTLAND

来源：

PATTERN RECOGNITION | 1990年 / 23卷 / 05期

关键词：

Discriminant analysis; Fish grading; Fish species recognition; Invariant moments; Shape analysis;

D O I：

10.1016/0031-3203(90)90074-U

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Size and species grading of fish (e.g. on board a fishing boat) might in future be done entirely automatically using image analysis. This has been investigated by creating a data bank of shapes from photographs of seven different types of fish on a computer. Three methods of discriminating between the different species of fish are compared and these are: invariant moments, optimisation of the mismatch, and shape descriptors. Each approach was evaluated using discriminant analysis. The methods sorted the fish with a reliability of 73%, 63% and 90% respectively. Further work is required to make a commercial grading system feasible. © 1990.

引用

页码：539 / 544

页数：6