Paper Details

Name: Aakash Bajaj
Country: India

Year: 2016
Volume: Volume-3, Issue-1 (January-June)
Page Number: 44-72

Abstract
Image segmentation is an important image processing technique which is used to analyze what is inside the image. Image segmentation is used to separate an image into several “meaningful” parts. In modern age, visual information is transmitted in the form of digital images becoming a major method of communication, but the image obtained after transmission is often corrupted with noise. The main aim of this thesis was evaluate the
performance of image segmentation using region growing algorithm over the Additive White Gaussian noise channel. First part of this thesis, the segmented image was transmitted over the Additive White Gaussian noise channel using the Binary Phase Shift Key and the Peak Signal to Noise ratio, Signal to Noise ratio, Root Mean Square Error and Means Absolute Error of the segmented image were calculated by use of the median filter and without median filter. The region growing segmentation method and Additive White
Gaussian noise channel was used for this thesis. And the second part of this thesis the segmented image was transmitted over the Additive White Gaussian noise channel using the Quadrature Phase Shift Key and the Peak Signal to Noise ratio, Signal to Noise ratio, Root Mean Square Error and Means Absolute Error of the segmented image were calculated by the use of median filter and without median filter. In base paper image was corrupted
with noise and Peak Signal to Noise ratio, Root Mean Square Error were calculated by using the filters with and without filters.