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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lorenzo-Ginori, J.V. |
| Copyright Year | 2011 |
| Description | Author affiliation: Faculty of Electrical Engineering, Universidad Central “Marta Abreu” de Las Villas, Cuba (Lorenzo-Ginori, J.V.) |
| Abstract | Correction of uneven illumination in images is frequently used as a preprocessing step, for which morphological processing is a well established technique. This task has some specific characteristics for images containing disjoint blobs. These images appear frequently in applications like cellular imaging, where it is often necessary to process them in large amounts. In such cases, achieving a high degree of automation becomes an important factor. When correcting uneven illumination by morphological processing for this class of images, selecting an appropriate size for the structuring element (SE) is a relevant issue. In this work, a method based in grayscale morphological operations is presented, to determine an appropriate size of the SE. The effectiveness of the method was tested through simulations using images derived from real world examples. Results are presented in terms of tables showing the precision in recovering the original image intensities, as well as through illustrative images. |
| Starting Page | 1453 |
| Ending Page | 1456 |
| File Size | 350845 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781457713040 |
| ISSN | 15224880 |
| e-ISBN | 9781457713033 |
| e-ISBN | 9781457713026 |
| DOI | 10.1109/ICIP.2011.6115715 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-09-11 |
| Publisher Place | Belgium |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Lighting Gray-scale Transforms Microscopy Image segmentation Conferences morphological image processing Uneven illumination |
| Content Type | Text |
| Resource Type | Article |
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