Template Matching Algorithm For Noise Detection in Cargo Container

Doni Setio Pambudi, Ruktin Handayani, Lailatul Hidayah

Department of Informatics

Universitas Internasional Semen Indonesia

Abstract

A seaport terminal providing services for inbound and outbound flow of cargo container often has issues with the handling of container. In some cases, the port is sued for damaged container which in fact has not been taken care properly before arriving in the port. Hence an automatic detection system for damaged container is needed. In this research, an algorithm to identify objects in a side-view of a cargo container is proposed. The objects include but not limited to company name of the cargo container, logo, identification code, signs, labels, and damages. By utilizing template matching algorithm, an algorithm to identify objects in container images has been developed. The achieved visual result was satisfactory as well as the computational aspect.

Keywords: Image Processing, Ship to Shore Crane, camera, container, damage, Template Matching, object detection.

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