Tasɣent n umeccaq tuzmilt
Tasɣent n umeccaq tuzmilt deg tusnakt d kra n yisnasen-is i tagruma deg tallunt timizrirt d arɣis i d-isgucculen ameccaq seg wagaz i d-ittunefken yakked usɣal i d-ittwagucclen s ugani ɣef ma yella wagaz yezga-d deg tegrawt-nni neɣ uhu. Tasɣent tessufuɣ-d azmul ilaw ma yezga-d wagaz s agensu-ines (sdaxel-is), sin akin ad tedrus yal mi ara ad taẓi s azɣar (beṛṛa) n tegrawt alamma tfukk mi ara ad tzeg fell-as. W ad tili d tibawt ma tezga-d s azɣar-is. Maca asenmel-a yezmer deg kra n tikkal ad yili d amuli s ugani ɣef kra n taftarin n yinzan isnakanen, anda ibaw ad yili s agensu n tegrawt ma d ilaw ad yili s azɣar-is.[1]
| Imeccaqen isnakanen | |
|---|---|
| Tisɣanin | |
| Arɣis | Tasɣent n umeccaq tuzmilt |
| Ameccaq n Chebyshev | Ameccaq aklidan |
| Ameccaq n Hausdorff | Ameccaq n uṭaksi |
| Ameccaq | |
| Imeccaqen ger n tfekkiwin tisnakanin | |
| gar n wagaz d umaɣud | Gar n sin n wagazen |
| Gar n wagaz d ugni | Gar n sin n izerrigen imsadaɣen |
| Gar n sin n izelman imezluga | |
== Imniren
Ẓeṛ daɣen
ẓreg- ↑ Malladi, R.; Sethian, J.A.; Vemuri, B.C. (1995). "Shape modeling with front propagation: a level set approach". IEEE Transactions on Pattern Analysis and Machine Intelligence. 17 (2): 158–175. CiteSeerX 10.1.1.33.2443. doi:10.1109/34.368173.