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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sankaran, P. Asari, V.K. |
| Copyright Year | 2006 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Old Dominion Univ., Norfolk, VA (Sankaran, P.; Asari, V.K.) |
| Abstract | An adaptive thresholding method used to distinguish cell boundaries in a given image is presented in this paper. A preprocessing step involves low pass filtering of the image to remove high frequency noise seen in the image. This image is now adaptively thresholded to create a binary image. The bright regions are further analyzed based on their geometrical descriptors such as area and form factor to classify them as cell or non-cell regions. Two sets of images, pulsed and non-pulsed, are available, which can be compared to determine the efficiency of the pulsing. Results for automatic segmentation are compared with those of manually obtained values to determine its efficiency. |
| Starting Page | 14 |
| Ending Page | 14 |
| File Size | 222897 |
| Page Count | 1 |
| File Format | |
| ISBN | 0769527396 |
| ISSN | 15505219 |
| DOI | 10.1109/AIPR.2006.9 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-10-11 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image segmentation Pulse measurements Low pass filters Frequency Fluorescence Pixel Filtering Bioelectric phenomena Adaptive filters Position measurement |
| Content Type | Text |
| Resource Type | Article |
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