IEEE Trans Image Process - Image fusion using higher order singular value decomposition.

Tópicos

{ imag(1947) propos(1133) code(1026) }
{ method(1557) propos(1049) approach(1037) }
{ system(1050) medic(1026) inform(1018) }
{ measur(2081) correl(1212) valu(896) }
{ structur(1116) can(940) graph(676) }
{ algorithm(1844) comput(1787) effici(935) }
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{ model(2656) set(1616) predict(1553) }
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{ studi(1410) differ(1259) use(1210) }
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{ perform(999) metric(946) measur(919) }
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{ compound(1573) activ(1297) structur(1058) }
{ perform(1367) use(1326) method(1137) }
{ studi(1119) effect(1106) posit(819) }
{ blood(1257) pressur(1144) flow(957) }
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{ model(3480) simul(1196) paramet(876) }
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{ ehr(2073) health(1662) electron(1139) }
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{ patient(2837) hospit(1953) medic(668) }
{ 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) }
{ sampl(1606) size(1419) use(1276) }
{ gene(2352) biolog(1181) express(1162) }
{ first(2504) two(1366) second(1323) }
{ intervent(3218) particip(2042) group(1664) }
{ activ(1138) subject(705) human(624) }
{ time(1939) patient(1703) rate(768) }
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{ can(981) present(881) function(850) }
{ health(1844) social(1437) communiti(874) }
{ cancer(2502) breast(956) screen(824) }
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{ drug(1928) target(777) effect(648) }
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{ implement(1333) system(1263) develop(1122) }
{ survey(1388) particip(1329) question(1065) }
{ decis(3086) make(1611) patient(1517) }
{ activ(1452) weight(1219) physic(1104) }
{ method(1969) cluster(1462) data(1082) }
{ method(2212) result(1239) propos(1039) }
{ detect(2391) sensit(1101) algorithm(908) }

Resumo

A novel higher order singular value decomposition (HOSVD)-based image fusion algorithm is proposed. The key points are given as follows: 1) Since image fusion depends on local information of source images, the proposed algorithm picks out informative image patches of source images to constitute the fused image by processing the divided subtensors rather than the whole tensor; 2) the sum of absolute values of the coefficients (SAVC) from HOSVD of subtensors is employed for activity-level measurement to evaluate the quality of the related image patch; and 3) a novel sigmoid-function-like coefficient-combining scheme is applied to construct the fused result. Experimental results show that the proposed algorithm is an alternative image fusion approach.

Resumo Limpo

novel higher order singular valu decomposit hosvdbas imag fusion algorithm propos key point given follow sinc imag fusion depend local inform sourc imag propos algorithm pick inform imag patch sourc imag constitut fuse imag process divid subtensor rather whole tensor sum absolut valu coeffici savc hosvd subtensor employ activitylevel measur evalu qualiti relat imag patch novel sigmoidfunctionlik coefficientcombin scheme appli construct fuse result experiment result show propos algorithm altern imag fusion approach

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