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An approach based on simulated annealing to optimize the performance of extraction of the flower region using mean-shift segmentation
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B. Karasulu, "An approach based on simulated annealing to optimize the performance of extraction of the flower region using mean-shift segmentation," APPLIED SOFT COMPUTING , vol.13, no.12, pp.4763-4785, 2013

Karasulu, B. 2013. An approach based on simulated annealing to optimize the performance of extraction of the flower region using mean-shift segmentation. APPLIED SOFT COMPUTING , vol.13, no.12 , 4763-4785.

Karasulu, B., (2013). An approach based on simulated annealing to optimize the performance of extraction of the flower region using mean-shift segmentation. APPLIED SOFT COMPUTING , vol.13, no.12, 4763-4785.

Karasulu, BAHADIR. "An approach based on simulated annealing to optimize the performance of extraction of the flower region using mean-shift segmentation," APPLIED SOFT COMPUTING , vol.13, no.12, 4763-4785, 2013

Karasulu, BAHADIR. "An approach based on simulated annealing to optimize the performance of extraction of the flower region using mean-shift segmentation." APPLIED SOFT COMPUTING , vol.13, no.12, pp.4763-4785, 2013

Karasulu, B. (2013) . "An approach based on simulated annealing to optimize the performance of extraction of the flower region using mean-shift segmentation." APPLIED SOFT COMPUTING , vol.13, no.12, pp.4763-4785.

@article{article, author={BAHADIR KARASULU}, title={An approach based on simulated annealing to optimize the performance of extraction of the flower region using mean-shift segmentation}, journal={APPLIED SOFT COMPUTING}, year=2013, pages={4763-4785} }