Detection of continuous and thin edges of noisy images by new kernel approach
| Autor: | Amr Reda. R. Almaddah, Tauseef Ahmad |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
business.industry
Computer science 020208 electrical & electronic engineering ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image processing 02 engineering and technology 01 natural sciences Grayscale Edge detection Gaussian filter 010104 statistics & probability symbols.namesake Kernel (image processing) Computer Science::Computer Vision and Pattern Recognition 0202 electrical engineering electronic engineering information engineering Median filter symbols Computer vision Artificial intelligence 0101 mathematics business Linear filter Smoothing MathematicsofComputing_DISCRETEMATHEMATICS |
| Zdroj: | 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON). |
| Popis: | In image processing, edge detection concerns with the localization of discontinuity of the gray scale images, accurately detecting continuous edges is difficult in noisy images. Usually for accurate edge detection requires smoothing and differentiation, to localize edge pixels in intensity images. Smoothing images with median filter instead of Gaussian filter has more edge preserving tendency. In this proposed method, filtered images with non- linear filter, which is convolved with two new developed 3x3 operators for detecting gradient magnitude of images. The resulted thick binary edges were filter with two new developed structure matrices for enhancement in binary edges. The new algorithm is examined and compared with the traditional edge detectors. The comparison is based on two type of distributed noises Gaussian and salt and pepper. The results comparison suggests that the new algorithm detect edges more accurate thinner and smoother than the edges detected by traditional edge detector. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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