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Assessing the efficiency of the image segmentation algorithmsPotočnik, Božidar ; Zazula, DamjanUčinkovitost segmentacijskih algoritmov za medicinske slike naj bi merili na množici kliničnih podatkov, kar pa je lahko zelo zahtevna naloga, predvsem zaradi pomanjkanja etalonov, standardiziranih ... statističnih protokolov, ustreznih metrik in dolgotrajnega zbiranja podatkov. V članku smo predstavili novo proceduro za lažje evalviranje učinkovitosti segmentacijskih algoritmov. Najprej sliko segmentiramo, zatem pa dobljene regije označimo. Parametrično popisane regije zatem primerjamo z originalnimi objekti. Odločitev, ali je regija razpoznana, sprejmemo na osnovi preseka med segmentirano regijo in originalnim objektom. Učinkovitost algoritmov merimo z dvema statistikama: z razmerjem med pravilno razpoznanimi objekti in regijami. Učinkovitost za celotno množico slik dobimo s poprečenjem obeh razmerij. Končno oceno o segmentacijski učinkovitosti določimo s produktom obeh vpeljanih statistik. Na osnovi predlagane evalvacijske procedure smo merili učinkovitost 10 dobro poznanih segmentacijskih algoritmov, in sicer najprej na 50 umetnih slikah, kjer se je izkazal algoritem OPTIMAL kot najboljši, ter zatem še na 30 realnih posnetkih, kjer je bil najboljši algoritem UNION-FIND.Source: Elektrotehniški vestnik. - ISSN 0013-5852 (Letn. 68, št. 2/3, 2001, str. 97-104)Type of material - article, component partPublish date - 2001Language - englishCOBISS.SI-ID - 6462486
Author
Potočnik, Božidar |
Zazula, Damjan
Topics
obdelava slik |
procesiranje slik |
segmentacija |
medicinske slike |
medicina |
krivulja ROC |
image processing |
segmentation |
medical images |
medicine |
ROC curve
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Potočnik, Božidar | 15801 |
Zazula, Damjan | 08061 |
Source: Personal bibliographies
and: SICRIS
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