2002Unpublished venueRequires access

Robust edge detector based on morphological filters

Xudong Song, Y. Neuvo

Open publisher page 1 citations

Abstract

A new edge detector based on alternating sequential filters (ASF) is presented and analyzed. The performance of ASF edge detector in the presence of noise is evaluated and is compared to the performance of well established morphological edge detectors. Experimental results show that ASF edge detector performs better than blurminimization edge detector and ATM edge detector.>

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What this paper is about

A new edge detector based on alternating sequential filters (ASF) is presented and analyzed. The performance of ASF edge detector in the presence of noise is evaluated and is compared to the performance of well established morphological edge detectors. Experimental results show that ASF edge detector performs better than blurminimization edge detector and ATM edge detector.>

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Available abstract

A new edge detector based on alternating sequential filters (ASF) is presented and analyzed. The performance of ASF edge detector in the presence of noise is evaluated and is compared to the performance of well established morphological edge detectors. Experimental results show that ASF edge detector performs better than blurminimization edge detector and ATM edge detector.>

Key concepts: Detector, Enhanced Data Rates for GSM Evolution, Edge detection, Noise (video), Deriche edge detector, Canny edge detector, Computer science, Physics

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