Quality Evaluation for Edge Detection of Chromosome G-band Images for Segmentation
Edge detection of chromosome in G-band type image is an important preprocessing step in segmentation. A chromosome type G-band image is generally very noise and poor image quality, lack of contrast and hold in image. A lot of edge caused by chromosome can easily mislead the edge detection algorithm....
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca
2013-02-01
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| Series: | Applied Medical Informatics |
| Subjects: | |
| Online Access: | http://ami.info.umfcluj.ro/index.php/AMI/article/view/398/pdf |
| Summary: | Edge detection of chromosome in G-band type image is an important preprocessing step in segmentation. A chromosome type G-band image is generally very noise and poor image quality, lack of contrast and hold in image. A lot of edge caused by chromosome can easily mislead the edge detection algorithm. Particularly, the chromosome overlapping and touching, then it is very difficult to get a clear edge of the femur head. These extraneous edge and noise make edge detection very difficult and challenging, which is not well solved. This paper presents analysis of evaluation chromosome G-band image edge detection. It has been appeared in literature that there are 4 different techniques, i.e. Canny, Laplacain, Robert's, and Sobel, on chromosome image type G-band. From our study, we found that Robert's give promising results in edge detection. A success rate of 97.69% has been achieved. |
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| ISSN: | 1224-5593 2067-7855 |