Khuram Ashfaq Qazi

Work place: Department of Software Engineering, U.E.T Taxila Taxila, Pakistan

E-mail: gemni1987@yahoo.com

Website:

Research Interests: Data Structures and Algorithms, Database Management System, Software Organization and Properties, Software Notations and Tools, Software Creation and Management

Biography

Engr. Khurram Ashfaq Qazi is MS Scholar in Department of Software Engineering at University of Engineering and Technology, Taxila, Pakistan. He has done his B.Sc Software Engineering from University of Taxila, Pakistan. He has a great research work on Noise Removal Algorithms in Image Processing. In 2008 he stayed in National Database and Registration Center to Study finger print or thumb impression image processing. In 2009 has worked in Software Organizations in R&D Department. He has research work in Improving Quality of Software Products and improving development techniques. During 2010, he has worked in improving products quality relating to medical. During 2011 and interest in research work relating to Project Management, Advance Software technologies and Improving and Implementing Logical algorithms.

Author Articles
Efficient Algorithm for Railway Tracks Detection Using Satellite Imagery

By Engr Ali Javed Khuram Ashfaq Qazi Muazzam Maqsood Khurram Ali Shah

DOI: https://doi.org/10.5815/ijigsp.2012.11.05, Pub. Date: 8 Oct. 2012

Satellite imagery can produce maps including roads, railway tracks, buildings, bridges, oceans, lakes, rivers, etc. In developed countries like USA, Canada, Australia, Europe, images produced by Google map are of high resolution and good quality. On the other hand, mostly images of the third world countries like Pakistan, Asian and African countries are of poor quality and not clearly visible. Similarly railway tracks of these countries are hardly visible in Google map. We have developed an efficient algorithm for railway track detection from a low quality image of Google map. This would lead to detect damaged railway track, railway crossings and help to schedule/divert locomotive movements in order to avoid catastrophe.

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