Adaptive wavelet based edge detection in noisy images
نویسندگان
چکیده
Edge detection is used widely from consumer applications to military and medical image analysis. One of the challenges in edge detection is getting the best trade-off between reliable detection and noise robustness. Because of that it is important to develop reliable edge detection algorithm which can adapt to different noise levels keeping false detections at minimum. In this paper we propose edge detection algorithm based on stationary wavelet transform which can automatically adapt to different noise levels. Robustness of this algorithm was tested for several noise levels and was compared to Canny algorithm which parameters were adjusted manually for introduced noise level. Keywords-component; edge detection; wavelet transform; multi-resolution analysis; image processing.
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