Authors :
A. E. A. Amorim; Maria Julia Polastri Cacchi
Volume/Issue :
Volume 5 - 2020, Issue 6 - June
Google Scholar :
http://bitly.ws/9nMw
Scribd :
https://bit.ly/3iywChQ
Abstract :
The detection of corrosion in steel sheets is
an important task for the shipbuilding industry and is
usually carried out through visual inspection. Some
articles have analyzed this issue using digital image
processing and have shown promising results. One of
the stages of digital image processing involves the
detection of edges, which can provide important and
useful information about the corrosion state of the plate
and characterizes the object's limits, being important
for segmentation, registration or identification of
objects. Many works have evaluated the images
processed by the detection of edges with linear filters,
some of them using the quality of the visual aspect of the
processed image as a parameter, while others usually
use entropy and PSNR. In this article, the objective of
the work is to evaluate the performance of these filters
and the behavior of entropy and PSNR applied to
images of corroded plates. A corrosive solution was
prepared in which six steel sheets were numbered and
partially immersed in this solution. On each day, the
plates were removed from the solution and
photographed, the image being analyzed in the code. As
a result, we conclude that entropy allows us to identify
the best filter to analyze corrosion, while PSNR does not
allow us to distinguish the difference in performance
between the filters. Of the seven filters analyzed, the
Canny filter showed the highest entropy value. On the
other hand, the entropy values for each filter,
apparently, do not depend on the corrosion time.
Keywords :
Component; Formatting; Style; Styling; Insert (Key Words)
The detection of corrosion in steel sheets is
an important task for the shipbuilding industry and is
usually carried out through visual inspection. Some
articles have analyzed this issue using digital image
processing and have shown promising results. One of
the stages of digital image processing involves the
detection of edges, which can provide important and
useful information about the corrosion state of the plate
and characterizes the object's limits, being important
for segmentation, registration or identification of
objects. Many works have evaluated the images
processed by the detection of edges with linear filters,
some of them using the quality of the visual aspect of the
processed image as a parameter, while others usually
use entropy and PSNR. In this article, the objective of
the work is to evaluate the performance of these filters
and the behavior of entropy and PSNR applied to
images of corroded plates. A corrosive solution was
prepared in which six steel sheets were numbered and
partially immersed in this solution. On each day, the
plates were removed from the solution and
photographed, the image being analyzed in the code. As
a result, we conclude that entropy allows us to identify
the best filter to analyze corrosion, while PSNR does not
allow us to distinguish the difference in performance
between the filters. Of the seven filters analyzed, the
Canny filter showed the highest entropy value. On the
other hand, the entropy values for each filter,
apparently, do not depend on the corrosion time.
Keywords :
Component; Formatting; Style; Styling; Insert (Key Words)
