Edge Detection Methods Based on Filtering Followed by Application of Differential Operators for Iris
This article presents the advantages of edge detection methods using filtering operations followed by application of differential operators eye an image. When using methods based on differential operators when applying intensity variations can be detected by differentiation, but if noisy signals dif...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Stefan cel Mare University of Suceava
2012-01-01
|
| Series: | Journal of Applied Computer Science & Mathematics |
| Subjects: | |
| Online Access: | http://jacs.usv.ro/getpdf.php?paperid=12_3 |
| Summary: | This article presents the advantages of edge detection methods using filtering operations followed by application of differential operators eye an image. When using methods based on differential operators when applying intensity variations can be detected by differentiation, but if noisy signals differentiation is dangerous due to the effect of amplifying the high frequencies. To eliminate this disadvantage must be designed optimal edge detectors (Canny) which satisfy the following criteria: accurate detection, correct location and a single response to a single edge |
|---|---|
| ISSN: | 2066-4273 2066-3129 |