IEEE Trans Image Process - Robust interactive image segmentation using convex active contours.

Tópicos

{ imag(2675) segment(2577) method(1081) }
{ imag(2830) propos(1344) filter(1198) }
{ motion(1329) object(1292) video(1091) }
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{ import(1318) role(1303) understand(862) }
{ activ(1138) subject(705) human(624) }
{ method(2212) result(1239) propos(1039) }
{ learn(2355) train(1041) set(1003) }
{ error(1145) method(1030) estim(1020) }
{ method(1557) propos(1049) approach(1037) }
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{ research(1218) medic(880) student(794) }
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{ model(3404) distribut(989) bayesian(671) }
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{ data(1737) use(1416) pattern(1282) }
{ inform(2794) health(2639) internet(1427) }
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{ health(3367) inform(1360) care(1135) }
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{ patient(2837) hospit(1953) medic(668) }
{ model(2656) set(1616) predict(1553) }
{ data(2317) use(1299) case(1017) }
{ age(1611) year(1155) adult(843) }
{ medic(1828) order(1363) alert(1069) }
{ signal(2180) analysi(812) frequenc(800) }
{ cost(1906) reduc(1198) effect(832) }
{ group(2977) signific(1463) compar(1072) }
{ gene(2352) biolog(1181) express(1162) }
{ first(2504) two(1366) second(1323) }
{ intervent(3218) particip(2042) group(1664) }
{ time(1939) patient(1703) rate(768) }
{ patient(1821) servic(1111) care(1106) }
{ use(2086) technolog(871) perceiv(783) }
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{ activ(1452) weight(1219) physic(1104) }
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Resumo

The state-of-the-art interactive image segmentation algorithms are sensitive to the user inputs and often unable to produce an accurate boundary with a small amount of user interaction. They frequently rely on laborious user editing to refine the segmentation boundary. In this paper, we propose a robust and accurate interactive method based on the recently developed continuous-domain convex active contour model. The proposed method exhibits many desirable properties of an effective interactive image segmentation algorithm, including robustness to user inputs and different initializations, the ability to produce a smooth and accurate boundary contour, and the ability to handle topology changes. Experimental results on a benchmark data set show that the proposed tool is highly effective and outperforms the state-of-the-art interactive image segmentation algorithms.

Resumo Limpo

stateoftheart interact imag segment algorithm sensit user input often unabl produc accur boundari small amount user interact frequent reli labori user edit refin segment boundari paper propos robust accur interact method base recent develop continuousdomain convex activ contour model propos method exhibit mani desir properti effect interact imag segment algorithm includ robust user input differ initi abil produc smooth accur boundari contour abil handl topolog chang experiment result benchmark data set show propos tool high effect outperform stateoftheart interact imag segment algorithm

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