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A Hybrid Method for Edge Continuity Based on Pixel Neighbors Pattern Analysis (PNPA) for Remote Sensing Satellite Images

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Author(s): Waqas Haider | Muhammad Sharif Malik | Mudassar Raza | Abdul Wahab | Izhar Ahmed Khan | Umar Zia | Jawad Tanveer | Hadia Bashir

Journal: International Journal of Communications, Network and System Sciences
ISSN 1913-3715

Volume: 05;
Issue: 09;
Start page: 624;
Date: 2012;
Original page

Keywords: Edge Detection | Edge Enhancement

ABSTRACT
Edge enhancement is derived from lack of accurate result from edge detection techniques. The image which is captured from long distances carries a lot of noise and blur which causes edge discontinuity. Although some novel algorithms which are based on cellular neural network, fuzzy enhancement and binary morphology have shown accuracy in order to obtain refined edge but still the problem of edge discontinuity arises. Eliminating discontinuity of edge a hybrid technique is proposed based on pixel neighbors pattern analysis PNPA. In the technique Canny operator for initial edge detection, PNPA operation for edge enhancement are performed for remote sensing satellite image successively. The visual and subjective evaluation shows that the proposed PNPA operation can effectively eliminate the influence of edge discontinuity which occurred due to noise and blurr in original captured image, as comparing to existing edge segmenting processes.

Tango Jona
Tangokurs Rapperswil-Jona

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