Abstract
This paper presents the use of Run Length Encoding (RLE) for real-time image processing. RLE compresses the image and allows the processing algorithm to efficiently identify the size and position of the objects in the image. The algorithm is application to a robotic vision system enable to reliably identify 11 objects in the 16.67ms sample time of an interlaced NTSC video image. It is shown that the time complexity of the compression phase is linear in the size of the image while the image processing phase is linear in the number of object in the image and the number of lines occupied by the objects in the image.
| Original language | English |
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| Title of host publication | Conference Record - IEEE Instrumentation and Measurement Technology Conference |
| Pages | 1055-1059 |
| Number of pages | 5 |
| Volume | 2 |
| Publication status | Published - 2002 |
| Externally published | Yes |
| Event | 19th IEEE Intrumentation and Measurement Technology Conference - Anchorage, AK, United States of America Duration: 21 May 2002 → 23 May 2002 |
Conference
| Conference | 19th IEEE Intrumentation and Measurement Technology Conference |
|---|---|
| Country | United States of America |
| City | Anchorage, AK |
| Period | 21/05/02 → 23/05/02 |
Keywords
- Compressed image processing
- Real-time image processing
- Robotics vision system