Earticle

초록

영어

Road torments are ample cause of deterioration of pavements structure. As they are not assessed and recovered on time. Progress can be easily assessed by the strong infrastructure of roads. But this infrastructure requires a lot of effort not only in construction but also in maintenance. In this paper our cause to detect main cause of road destruction because road cracks are the main cause of roads destruction. These cracks are assessed both manually and automatically. On a wide level, manual method of crack detection is used. These cracks are differentiated according to their shapes and severity. This is the crucial part where it is necessary to have a system for the assessment of the crack type. So, the processing of that image is done according to the nature of the crack. As different techniques are applicable to different cracks to assess the severity and nature. On the basis of which precautionary measures can be taken. In this paper I used fuzzy inference system here to process the image through segmentation. So that the most accurate and quick observation can be done on the basis of appropriate segmentation technique applied on the certain image.

목차

Abstract
I. INTRODUCTION
II. LITERATURE REVIEW
III. PROPOSED METHODOLOGY
IV. RESULTS
V. EDGE DETECTION DIAGRAM
REFERENCES

키워드

저자

• Arif Wicaksono Septyanto [ Institut Teknologi Kalimantan, Balikpapan, Indonesia. ]
• Muhammad Mueed Hussain [ Institute of Management Sciences, Lahore, Pakistan ]
• Mamoona Amin [ Institute of Management Sciences Lahore, Pakistan ]
• Sadaf Hussain [ Lahore Garrison University, Lahore, Pakistan ]
• Rabia Afzaal [ Lahore Garrison University Lahore, Pakistan ]
• Muhammad Adnan Khan [ Riphah International University Lahore, Pakistan ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  한국차세대컴퓨팅학회 학술대회

• 간기

  반년간

• 수록기간

  2021~2025

• 십진분류

  KDC 566 DDC 004