Live shrimp larvae counting method using co-occurrence color histogram

Author

Khantuwan, Wongnaret ; Khiripet, Noppadon

Author_Institution

Nat. Electron. & Comput. Technol. Center, Knowledge Elicitation & Archiving Lab., Pathumthani, Thailand

fYear

2012

fDate

16-18 May 2012

Firstpage

1

Lastpage

4

Abstract

This paper proposes the method of counting numbers of shrimp larvae in water-filled containers using image processing techniques. Images of the containers are captured from a camera over the containers. The images are preprocessed for noise removal and enhancement. The resulting images are then processed to count the number of shrimp larvae with an acceptable accuracy. Our experimental results show that estimates of shrimp larvae numbers with 97% accuracy under controlled conditions. Some issues of system development and practical implementation are discussed.

Keywords

agricultural engineering; aquaculture; cameras; containers; image colour analysis; image enhancement; production engineering computing; camera; cooccurrence color histogram; image capture; image enhancement; image processing techniques; live shrimp larvae counting method; noise removal; water-filled containers; Accuracy; Containers; Histograms; Image color analysis; Image edge detection; Manuals; CCH; counting; shrimp larvae; template matching;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2012 9th International Conference on

Conference_Location

Phetchaburi

Print_ISBN

978-1-4673-2026-9

Type

conf

DOI

10.1109/ECTICon.2012.6254280

Filename

6254280