Name
Abstract | ||
|---|---|---|
This study aims at development of methods to track the center of and detect lanes as the first step of automated tool to analyze rose DNA using PCR gel electrophoresis images. Although several research results have been previously reported using projection profiles in a whole image, it is still challenge to track the center of and detect bent lanes using projection profiles. To resolve the problem, we partitioned an input image into small images and found local maxima, potential lane centers, on the vertical projection in each partitioned image. We used 29 PCR gel images including 934 lanes to evaluate the performance of the proposed scheme. Proposed scheme achieved the performance of the sensitivity of 99.0% and the precision of 98.9%. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/CIT.2011.89 | CIT |
Keywords | Field | DocType |
small image,vertical projection,pcr gel electrophoresis image,projection profile,input image,pcr gel image,potential lane center,proposed scheme,lanes detection,pcr gel electrophoresis images,whole image,partitioned image,clustering algorithms,electrophoresis,noise,enzymes,biochemistry,molecular biophysics,estimation,biomedical imaging,dna,gel electrophoresis | Vertical projection,Pattern recognition,Computer science,Medical imaging,Gel electrophoresis,Real-time computing,Maxima and minima,Lane detection,Artificial intelligence,Cluster analysis | Conference |
Citations | PageRank | References |
2 | 0.39 | 5 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sang Cheol Park | 1 | 154 | 10.39 |
| In Seop Na | 2 | 42 | 13.83 |
| Soo Hyung Kim | 3 | 29 | 6.39 |
| Guee Sang Lee | 4 | 8 | 2.24 |
| Kang Han Oh | 5 | 20 | 3.03 |
| Jeong-Hwan Kim | 6 | 15 | 9.10 |
| Tae Ho Han | 7 | 2 | 0.39 |