2. Methodology
For modification of pixels in an image the
technique known as Morphological image
processing is used. For grayscale image, the
pixels are identified by their binary values i.e. 0
and 1, and for this process is conducted by
using either sophisticated image processing
algorithms or by less mathematically
complicated operations, which includes
erosion and dilation as well as opening and
closing of images. Basically the main purpose
of the Morphological Image Processing is to
remove unwanted artifacts in an image or to
improve image’s clarity. In the presented paper
for the identification of disease, I am using the
techniques of erosion and dilation along with
the combination of Skeletonization and
Perimeter determination. For image
representation of objects of an image, specific
set of pixels called object pixels is used.
Background pixels are white and are
represented separately. By erosion operation,
the conversion of the pixels associated with the
object’s boundary to pixels in the background
is possible, while with the help of dilation
operation, the bordering background pixels can
be changed to the ones that are associated with
the object. Basically erosion process is used
for making the objects smaller and dilation
process is used for enlarging or even for
merging the object.
2. Methodology
For modification of pixels in an image the
technique known as Morphological image
processing is used. For grayscale image, the
pixels are identified by their binary values i.e. 0
and 1, and for this process is conducted by
using either sophisticated image processing
algorithms or by less mathematically
complicated operations, which includes
erosion and dilation as well as opening and
closing of images. Basically the main purpose
of the Morphological Image Processing is to
remove unwanted artifacts in an image or to
improve image’s clarity. In the presented paper
for the identification of disease, I am using the
techniques of erosion and dilation along with
the combination of Skeletonization and
Perimeter determination. For image
representation of objects of an image, specific
set of pixels called object pixels is used.
Background pixels are white and are
represented separately. By erosion operation,
the conversion of the pixels associated with the
object’s boundary to pixels in the background
is possible, while with the help of dilation
operation, the bordering background pixels can
be changed to the ones that are associated with
the object. Basically erosion process is used
for making the objects smaller and dilation
process is used for enlarging or even for
merging the object.
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