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  DOI Prefix   10.20431


 

International Journal of Innovative Research in Electronics and Communications
Volume 2, Issue 8, 2015, Page No: 9-15


Region Growing Thresholding Based Object-Oriented Shadow Detection and Removal from Urban High-Resolution Remote Sensing Images

M.Nagamani1, Ms. N.Suchitra2

1.PG Scholar, Dept of ECE, Gokula Krishna College of Engineering, JNTUA, Sullurpet, AP, India.
2.Associate Prof, Dept of ECE, Gokula Krishna College of Engineering, JNTUA, Sullurpet, AP,India.

Citation : M.Nagamani,Ms.N.Suchitra, Region Growing Thresholding Based Object-Oriented Shadow Detection and Removal from Urban High-Resolution Remote Sensing Images International Journal of Innovative Research in Electronics and Communications 2015, 2(8) : 9-15

Abstract

This paper mainly focus to get the high resolution color remote sensing image, and also undertaken to remove the shaded region in the both urban and rural area. Some of the existing projects are involved to detect the shaded region and then eliminate that region, but it has some drawbacks. The detection of the edges will be affected mostly by the application of the external parameters. The edge detection process can be more helpful in the detection of the objects so that the objects can be used for further processing. In this process we have implement the region growing thresholding algorithm is used to detect the shadow region and extract the feature from the shadow region. Region growing is simplest in region-base image segmentation methods. The concept of region growing algorithm is checking the neighboring pixels of the initial seed points. Then determine whether those neighboring pixels are added to the seed points or not. In the region growing threshold algorithm Pixels are placed in the region based on their properties or the properties of the nearby pixel values. Then the pixel containing the similar properties is grouped together and then the large numbers of pixels are distributed throughout the image.


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