15 Barnacles Growth Monitoring …
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area. Scilab closely mimics functionalities of MATLAB software and is emerging as
an effective alternative. The functionality of Scilab comprises a large collection of
toolboxes suitable for applications in science and technology fields.
The Scilab Image Processing Design Toolbox (IPD) is used for image processing,
for example, detection of surface defection in QC, detection of anatomical landmarks
in medical surgery, number of cells and classification of regions in remote sensing
activities [6]. The process might be involved in image processing such as to generate
the images by using optical cameras, ultrasound, x-ray machines and other imaging
devices [5]. The format of images must be created in a digital format. There are
some basic methods involved to distinguish between objects and background and to
describe regions in digital images.
In this study, several photos of barnacles that stick on the KL PAUS hull surface
were analysed using the Scilab software. The surface area of this vessel is very
important and the constant contact condition with the seawater level may result
undesirable additional friction that needs to be considered. Barnacles growths were
monitored frequently and taken once a month for duration of three-month monitoring.
15.2 Methodology
15.2.1 Selection Area at Hull
It is to ensure that this research of monitoring the barnacles growth at K.L Paus hull
using the Scilab programming (image processing) is smoothly running without any
problem or misunderstanding during collecting data. The sample picture of barnacles
at the K.L Paus hull part has been taken to fulfil this research requirement to complete
with success. From this sample picture, the pilot test produced the collected data to
be analysed to meet the standard and requirement of this research. Then the sample
picture of barnacles is revised until the suitable picture of barnacle is produce for
this research. Figure 15.3 shows that diver has taken the photo of barnacles at the
KL PAUS hull.
15.2.2 Data Processing and Analysis
The growth of barnacles can be observed clearly during clear seawater condition. The
data has been collected for three months monitoring and analysed using the Scilab
software. The data of photos for each month has been compared, and new barnacles
growth has been identified for each month when checking their pixels numbers.
157
area. Scilab closely mimics functionalities of MATLAB software and is emerging as
an effective alternative. The functionality of Scilab comprises a large collection of
toolboxes suitable for applications in science and technology fields.
The Scilab Image Processing Design Toolbox (IPD) is used for image processing,
for example, detection of surface defection in QC, detection of anatomical landmarks
in medical surgery, number of cells and classification of regions in remote sensing
activities [6]. The process might be involved in image processing such as to generate
the images by using optical cameras, ultrasound, x-ray machines and other imaging
devices [5]. The format of images must be created in a digital format. There are
some basic methods involved to distinguish between objects and background and to
describe regions in digital images.
In this study, several photos of barnacles that stick on the KL PAUS hull surface
were analysed using the Scilab software. The surface area of this vessel is very
important and the constant contact condition with the seawater level may result
undesirable additional friction that needs to be considered. Barnacles growths were
monitored frequently and taken once a month for duration of three-month monitoring.
15.2 Methodology
15.2.1 Selection Area at Hull
It is to ensure that this research of monitoring the barnacles growth at K.L Paus hull
using the Scilab programming (image processing) is smoothly running without any
problem or misunderstanding during collecting data. The sample picture of barnacles
at the K.L Paus hull part has been taken to fulfil this research requirement to complete
with success. From this sample picture, the pilot test produced the collected data to
be analysed to meet the standard and requirement of this research. Then the sample
picture of barnacles is revised until the suitable picture of barnacle is produce for
this research. Figure 15.3 shows that diver has taken the photo of barnacles at the
KL PAUS hull.
15.2.2 Data Processing and Analysis
The growth of barnacles can be observed clearly during clear seawater condition. The
data has been collected for three months monitoring and analysed using the Scilab
software. The data of photos for each month has been compared, and new barnacles
growth has been identified for each month when checking their pixels numbers.