Characterization of cracking in pavement distress using image processing techniques and k-Nearest neighbour
نویسندگان
چکیده
منابع مشابه
Identification of selected monogeneans using image processing, artificial neural network and K-nearest neighbor
Abstract Over the last two decades, improvements in developing computational tools made significant contributions to the classification of biological specimens` images to their correspondence species. These days, identification of biological species is much easier for taxonomist and even non-taxonomists due to the development of automated computer techniques and systems. In this study, we d...
متن کاملTransportation Informatics: Advanced Image Processing Techniques Automated Pavement Distress Evaluation
The current project, funded by MIOH-UTC for the period 1/1/20094/30/2010, is concerned with the development of the framework for a transportation facility inspection system using advanced image processing techniques. The focus of this study is on the technical details of investigating and utilizing state-of-the-art image analysis techniques to further advance research in image processing based ...
متن کاملPavement distress image recognition using k-means and classification algorithms
Road pavement maintenance today relies mainly on manual pavement condition inspection and distress rating; however, this manual method is costly, labour-intensive, time-consuming, and dangerous to inspectors and may affect traffic flows. Moreover, such method is very subjective and may have a high degree of variability, being unable to provide meaningful information. Additionally, since using t...
متن کاملPavement surface distress detection and evaluation using image processing technology
iii Acknowledgements v Table of
متن کاملStudy of K Nearest Neighbour Applications in Image Processing with Graphics Processing Unit
The GPU has always been a processor with ample computational resources. It is a powerful graphics engine and a highly parallel programmable processor having better efficiency and high speed that overshadows CPU. It is used in high performance computing system. The implementation of GPU can be done with CUDA C. Due to its highly parallel structure it is used in a number of real time applications...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Indonesian Journal of Electrical Engineering and Computer Science
سال: 2019
ISSN: 2502-4760,2502-4752
DOI: 10.11591/ijeecs.v14.i2.pp810-818