Pubblicazione scientifica

Mackerel Classification Using Global and Local Features

FILONE TECNOLOGICO	TEMA
trasformazione e commercializzazione

RIASSUNTO

Blue and chub mackerels are often caught at the same time, and their market prices are different. Thus, humans need to classify them by their hands. Therefore, the demand for automatic sorting machines of these mackerels using image processing technique is increasing. Classification for blue and chub mackerels is a challenging task due to their quite similar appearance. In this paper, we propose a method for classifying blue and chub mackerels by image processing technique. The difference of the two mackerels appears on the whole and the local specific parts. Therefore, we use global and local features that are extracted from the whole and the specific part in fish images, respectively. Experimental results showed that the proposed method is superior to the methods using only global or local feature.

DATA

Data di pubblicazione: 01/09/2018

AUTORI

YOSHITO NAGAOKA
TOMO MIYAZAKI
YOSHIHIRO SUGAYA
SHINICHIRO OMACHI

ENTE DI AFFERENZA

DEPT COMM ENG TOHOKU UNIV SENDAI JAPAN

RIVISTA

2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA) (Volume: 1, Page(s): 1209-1212)

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