| Autor: |
Janani, B., Harin, R., Bhattacharjee, J. B., Thilakavathi, B. |
| Předmět: |
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| Zdroj: |
Annals. Computer Science Series; 2012, Vol. 10 Issue 1, p106-111, 6p, 3 Black and White Photographs, 3 Charts |
| Abstrakt: |
In real world machine vision problems, issues such as noise and variable scene illumination make edge and finding object difficult. Effective edge detection algorithm is required for many important areas like machine vision, automated interpretation systems and is often used as the front-end processing stage in object recognition and interpretation systems. Many research works has been done to develop effective edge detection algorithms. In this paper parameters are modified in the Robert cross edge detection method to achieve a higher level of scene illumination and noise independence. Results obtained by this method are compared with several leading edge detection methods, such as Sobel and Canny. Further this project uses the logarithmic based edge detection method for the same. Application of this algorithm can be used for Image Enhancement which is based on this edge detection concept, shows better image enhancement. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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