Image processing by using Self Organizing Neural Network

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ISSN: 2349-6002 ESTD Year: 2014

UGC approved journal no 47859

Image processing by using Self Organizing Neural Network
Author(s):
Susheel Kumar, Gudhi Sarvani
Keywords:
Image segmentation, Neural networks, self organising neural networks.
Abstract
In image segmentation it is not able to recognize the whole image directly as a consequence of inefficacious and impractical. For that reason, a variety of image segmentations algorithms has been proposed to recognize the image. Image segmentation classifies an image into various parts according to the feature of the image which is pixel value. Until now number of image segmentation algorithms are subsist and have been applied in the field of computer science and everyday life. In this paper we will discuss about the artificial neural network technique. The artificial neural network technique is a dominant technique and still measured as complex problem in the image processing method. From the Artificial intelligence Kohonen Self Organizing Neural Network algorithm has been used for the image segmentation. The proposed algorithm improves the performance of the artificial neural network so that we can achieve the quality output.
Article Details
Unique Paper ID: 153698 Publication Volume & Issue: Volume 8, Issue 8 Page(s): 412 - 415
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