Name
Abstract | ||
|---|---|---|
In this paper, a high-speed vision-based morphological analysis system for fast-flowing cells in a microchannel implementing a multi-object feature extraction algorithm on a high-speed vision platform is proposed. Real-time video processing is performed in hardware logic by extracting the moment features and bounding boxes of multiple cells in 512×256-pixel images at 2000 fps. The extracted cell regions are pushed into a first-in-first-out (FIFO) buffer for real-time image-based morphological analysis after being shrunk proportionally to a certain size. By extracting the bounding boxes of the cell regions using hardware logic and shrinking the cell region to a certain size to reduce processing time, our high-speed vision system can perform fast morphological analysis of cells at 2 ms/cell in fast microchannel flows. The results of real-time experiments conducted to analyze the size, eccentricity, and transparency of fertilized sea urchin eggs fast flowing in microchannels verify the efficacy of our vision-based cell analysis system. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/IROS.2014.6942654 | IROS |
Keywords | DocType | ISSN |
video signal processing,cellular biophysics,fast-flowing cell,hardware logic,real-time LOC-based morphological cell analysis system,extracted cell region,bounding boxes,multiobject feature extraction algorithm,high-speed vision platform,biology computing,feature extraction,eccentricity,vision-based cell analysis system,computer vision,high-speed vision system,transparency,cell regions,FIFO buffer,microchannel flow,high-speed vision-based morphological analysis system,real-time video processing,real-time image-based morphological analysis,real-time systems,medical image processing,first-in-first-out buffer,fertilized sea urchin egg,microchannels | Conference | 2153-0858 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qingyi Gu | 1 | 153 | 22.13 |
| Tadayoshi Aoyama | 2 | 69 | 28.58 |
| Takeshi Takaki | 3 | 222 | 38.04 |
| Idaku Ishii | 4 | 355 | 64.37 |
| Ayumi Takemoto | 5 | 2 | 0.73 |
| Naoaki Sakamoto | 6 | 2 | 0.73 |