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Z. Salleh and A. R. Harun
speed and hence increases the fuel consumption to offset the higher friction [2, 3]. The
ship needs to go through a certain processes at a dry dock to have the bottom scraped
[4]. To prevent barnacles from clinging to ships, antifouling reagents could be used as
the hulls are either treated with chemical such toxic paint containing tin or copper or
are coated with plastic layer. The monitoring of the barnacles is difficult if no proper
instrument and analysis processes are used during this investigation. Early detection
and recognition of marine growth are possible ways to use the learning and deep
convolutional neural network (CNN) approach [5]. The barnacles monitoring can be
done by observing their growth using the image processing method [6]. Therefore,
computer modelling and data analysis have become very useful nowadays. In this
research, the growth of barnacles is monitored using Scilab programming (image
analysis) at the K.L PAUS vessel, especially at the hull part as shown in Fig. 15.1.
The growths of barnacles are drastically increasing when they are breeding on
the hull part as shown in Fig. 15.2. This problem has caused damage to ship owners.
By introducing Scilab software, the picture of barnacle can be analysed that was
frequently captured in several month activities [7]. The growth of the barnacles
is monitored from the time being. Scilab software is considered a free software
alternative to MATLAB, hailed very often as the language of technical and scientific
computing. MATLAB has found a permanent place not only in the curriculum of
applied science and engineering studies, but also in research and the development
Fig. 15.1 K.L PAUS vessel
hull
Fig. 15.2 Barnacles growth
at hull surface
Z. Salleh and A. R. Harun
speed and hence increases the fuel consumption to offset the higher friction [2, 3]. The
ship needs to go through a certain processes at a dry dock to have the bottom scraped
[4]. To prevent barnacles from clinging to ships, antifouling reagents could be used as
the hulls are either treated with chemical such toxic paint containing tin or copper or
are coated with plastic layer. The monitoring of the barnacles is difficult if no proper
instrument and analysis processes are used during this investigation. Early detection
and recognition of marine growth are possible ways to use the learning and deep
convolutional neural network (CNN) approach [5]. The barnacles monitoring can be
done by observing their growth using the image processing method [6]. Therefore,
computer modelling and data analysis have become very useful nowadays. In this
research, the growth of barnacles is monitored using Scilab programming (image
analysis) at the K.L PAUS vessel, especially at the hull part as shown in Fig. 15.1.
The growths of barnacles are drastically increasing when they are breeding on
the hull part as shown in Fig. 15.2. This problem has caused damage to ship owners.
By introducing Scilab software, the picture of barnacle can be analysed that was
frequently captured in several month activities [7]. The growth of the barnacles
is monitored from the time being. Scilab software is considered a free software
alternative to MATLAB, hailed very often as the language of technical and scientific
computing. MATLAB has found a permanent place not only in the curriculum of
applied science and engineering studies, but also in research and the development
Fig. 15.1 K.L PAUS vessel
hull
Fig. 15.2 Barnacles growth
at hull surface