Title :
A circular smoothing edge detector
Author_Institution :
Signal & Image Process. Inst., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
A method of detecting step edges based on an edge-preserving circular smoothing technique is presented. The detection procedure consists of two stages: circular smoothing and thresholding. To achieve better results, multiple windows are used. Experimental results utilizing real images show that using multiple windows can more efficiently remove noise, reduce edge width, and detect weak edges. Based on the edge quality, the method is comparable to the commonly used edge detectors, but it requires fewer steps. Since the edge detector can be implemented in parallel, it is suitable for VLSI implementations leading to a real-time edge detector chip
Keywords :
picture processing; VLSI; circular smoothing edge detector; edge detection; edge quality; edge width reduction; multiple windows; noise removal; real-time edge detector chip; thresholding; Detectors; Face detection; Filters; Image edge detection; Image processing; Noise reduction; Noise robustness; Signal processing; Smoothing methods; Very large scale integration;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on
Conference_Location :
Albuquerque, NM
DOI :
10.1109/ICASSP.1990.115964