Detection and Classification of Potholes in Indian Roads Using Wavelet Based Energy Modules

Title

Detection and Classification of Potholes in Indian Roads Using Wavelet Based Energy Modules

Creator

Manjunatha H.T.; Danti A.

Description

Maintenance of roads is one the major challenge in the developed countries. The well maintained roads always indicates the economy of the whole country. The heavy use of roads, environmental conditions and maintenance is not performed regularly that leads the formation of potholes which causes the accidents and unwanted traffics. The paper discuss about the detection of potholes based on wavelet energy field. The proposed method mainly includes three phases (A)Wavelet energy filed is constructed in order to detect the image by using geometric criteria and morphological processing (B)Extracting Region of intersect by edge based segmentation technique (C)Classifying the potholes using Neural Network. 2019 IEEE.

Source

2019 International Conference on Data Science and Communication, IconDSC 2019

Date

2019-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

Canny operator; Markov random; Median filter Neural Network. Wavelet Energy Field

Coverage

Manjunatha H.T., Department of Computer Applications, Jawaharlal Nehru National College of Engineering, Shimoga, Karnataka, India; Danti A., Department of Computer Science and Engineering, Christ (Deemed to be University), Bangalore, India

Rights

Restricted Access

Relation

ISBN: 978-153869319-3

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/IconDSC.2019.8816878

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072762234&doi=10.1109%2fIconDSC.2019.8816878&partnerID=40&md5=eb76696d1087c3cac5a03dee75846f90