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Determination of Additional Aperture in Non-Metal Sewer Pipes by Image Processing

Mohamed Qays Jameel Alsalihi, Murat Selek. Published in Image Processing.

Communications on Applied Electronics
Year of Publication: 2017
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: Mohamed Qays Jameel Alsalihi, Murat Selek

Mohamed Qays Jameel Alsalihi and Murat Selek. Determination of Additional Aperture in Non-Metal Sewer Pipes by Image Processing. Communications on Applied Electronics 7(6):8-11, September 2017. BibTeX

	author = {Mohamed Qays Jameel Alsalihi and Murat Selek},
	title = {Determination of Additional Aperture in Non-Metal Sewer Pipes by Image Processing},
	journal = {Communications on Applied Electronics},
	issue_date = {September 2017},
	volume = {7},
	number = {6},
	month = {Sep},
	year = {2017},
	issn = {2394-4714},
	pages = {8-11},
	numpages = {4},
	url = {},
	doi = {10.5120/cae2017652682},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


In this investigation, image processing was applied to find out the disorder may accrue in the non-metal sewer underground pipelines (i.e. additional aperture). This disorder may be discovered via extracting the characteristics from interior image taken and tackled through suitable filters to improve its appearance, and ultimately subjected to feature extraction process to extract and determine their characters, and at last step, finding out and diagnosing the faults and disadvantages that may exist in the tested pipelines, automatically, without the need to the human eye. For detecting the additional apertures, edge detection technique was used. By this technique a reliable result was achieved. An image with additional apertures was produced.


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Edge detection technique, Sobel, and Prewitt operators