Robust edge detector based on morphological filters
Xudong Song, Y. Neuvo
Abstract
Xudong Song, Y. Neuvo
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.>
OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
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