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

Waqas Haider, Muhammad Sharif Malik, Mudassar Raza, Abdul Wahab, Izhar Ahmed Khan, Umar Zia, Jawad Tanveer, Hadia Bashir

Department of Computer Science, COMSATS Institute of Information Technology, Wah Cantt and Vehari Campus, Pakistan.

DOI: 10.4236/ijcns.2012.529072                

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.

Keywords

Edge Detection; Edge Enhancement

Conflicts of Interest

The authors declare no conflicts of interest.

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