Scalability evaluation of matlab routines for parallel image processing environment
Jamil Abdulhamid Mohammed Saif, Piotr Sumionka (TASK, 2017)
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ABSTRAK Image edge detection plays a crucial role in image analysis and computer vision, it is defined as the process of finding the boundaries between objects within the considered image. The recognized edges may further be used in object recognition or image matching. In this paper a Canny image edge detector is used which gives acceptable results that can be utilized in many disciplines, but this technique is time consuming especially when a big collection of images is analyzed. For that reason, to enhance the performance of the algorithms, a parallel platform allowing speeding up the computation is used. The scalability of a multicore supercomputer node, which is exploited to run the same routines for a collection of color images from 2100 to 42000 images is investigated. |
| No. Panggil : | 600 SBAG 21:4 (2017) |
| Entri utama-Nama orang : | |
| Entri tambahan-Nama orang : | |
| Penerbitan : | [Place of publication not identified]: TASK, 2017 |
| Sumber Pengatalogan : | LibUI eng rda |
| ISSN : | 14286394 |
| Majalah/Jurnal : | Scientific Bulletin of Academic Computer Centre in Gdanks |
| Volume : | Vol. 21, No. 4, October 2017 : hal. 423-433 |
| Tipe Konten : | text |
| Tipe Media : | unmediated |
| Tipe Carrier : | volume |
| Akses Elektronik : | |
| Institusi Pemilik : | Universitas Indonesia |
| Lokasi : | Perpustakaan UI, Lantai 4, R. Koleksi Jurnal |
| No. Panggil | No. Barkod | Ketersediaan |
|---|---|---|
| 600 SBAG 21:4 (2017) | 03-19-668511827 | TERSEDIA |
| Ulasan: |
| Tidak ada ulasan pada koleksi ini: 20496914 |
