IMAGE SEGMENTATION TECHNIQUES: A REVIEW
DOI:
https://doi.org/10.65009/q1162175Keywords:
Image segmentation, Clustering, Wavelet Decomposition, ANN.,,Abstract
As a result of segmentation, an image is divided into several distinct portions, each of which
has equivalent characteristics for each pixel. As an illustration, segmentation ought to be completed once
the application's objects of interest have been isolated. The extent to which this partition is carried out is
decided by the problem that is being solved. Image segmentation is a technique that is required by
computer vision applications in order to extract the significant regions of an image. It would appear that
image segmentation is a technology that shows great potential for usage in medical applications. When
it comes to the realm of medicine, it is utilized to differentiate between things of interest and the
background. Through the process of image segmentation, the representation of a picture can be clarified
and/or transformed into a format that is more meaningful and easier to comprehend.
For the purposes of pattern recognition and image processing, picture segmentation is an indispensable
element. An image segmentation system that is based on neural networks is being developed particularly
for the purpose of segmenting color images. We will begin by presenting the BP Neural Network, which
is capable of doing parallel computing, distributed saving, self-study, fault-tolerance, and nonlinear
function approximation. Consequently, it is frequently utilized in the process of image segmentation;
nonetheless, it is not devoid of any shortcomings. As a consequence of this, a novel approach to the
segmentation of images is given. This approach is based on Wavelet Decomposition as well as a self
organizing graph neural network. When it comes to repelling noise, improving convergence, and other
similar tasks, it is superior. This is an excellent method for estimating the color of an object, and color
prototypes are exactly that. For the purpose of classifying picture pixels, color prototype matching is
utilized. The findings of the studies indicate that the system had the capability that was considered to be
desirable for the segmentation of color images in a variety of vision tasks.
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