Pothole Dimensions Measurement Using Mean Shift Based Speckle Filtering

Author(s):

Mr Amitkumar Govind Rathod , MIT COLLEGE AURANGABAD; Prof A.B.Makone, MIT COLLEGE AURANGABAD

Keywords:

Mean Shif Algorithm, Speckle filtering, Pothole Detection Method

Abstract:

This paper presents a Pothole dimensions’ measurement using mean shift based speckle filtering. The mean shift algorithm, which uses a moving window and utilizes both spatial and range information contained in an image, is widely employed in digital image filtering and segmentation. The mean shift algorithm has been studied and applied successfully for speckle reduction in images. Speckle reduction techniques need to be applied before information extraction. Speckle reduction for distributed requires weighted averaging pixels within a homogeneous area. The mean shift is an iterative process. The mean shift filtering is more powerful and effective to reduce the speckle noise and edges and texture preservation. Potholes in road surfaces are mostly caused by water and regular road maintenance is vital to prevent the decaying process. The pothole damage detection is derived from the assumption that any strong dark edge within the extracted road surface is estimated a pothole edge if it observes to certain size constraints. The size constraints were obtained using the selection of images withheld for parameter correction. Any shape of outline that meets these conditions is estimated a pothole by the algorithm. The proposed method for detecting a pothole starts by converting the extracted road section image to a gray scale image.

Other Details:

Manuscript Id	:	IJSTEV2I11072
Published in	:	Volume : 2, Issue : 11
Publication Date	:	01/06/2016
Page(s)	:	38-46

Download Article