Matches in SemOpenAlex for { <https://semopenalex.org/work/W2995372873> ?p ?o ?g. }
Showing items 1 to 89 of
89
with 100 items per page.
- W2995372873 abstract "Automatic image segmentation is a fundamental task in many applications such as video surveillance, image retrieval, medical image analysis, recognition, tracking and objects classification. This task is not easy due to the complexity of image features as well as the number of objects within the images which is unknown in most of the time. However, the correct tuning of the parameters associated with the automatic segmentation algorithms can improve the levels of precision in the object segmentation in the images. This paper proposes the use of clustering validation indices and maximum entropy as cost functions to quantify the quality of segmentation in order to find the optimal parameters of the automatic segmentation techniques. The impact of using clustering validation indices and maximum entropy was evaluated in the automatic segmentation algorithms, K-Means, Watershed and Statistical Region Merging (SRM), using four image databases with images containing different numbers and sizes of objects and different levels of illumination. The results obtained reveal that the use of clustering validation indices and maximum entropy for tuning the automatic segmentation algorithms results in better segmentations with a number of segmented objects close to what really exists in the images, while these results are competitive with the works reported in the literature." @default.
- W2995372873 created "2019-12-26" @default.
- W2995372873 creator A5033154465 @default.
- W2995372873 creator A5062771846 @default.
- W2995372873 creator A5069051056 @default.
- W2995372873 date "2019-08-01" @default.
- W2995372873 modified "2023-09-26" @default.
- W2995372873 title "A Comparative Study of Clustering Validation Indices and Maximum Entropy for Sintonization of Automatic Segmentation Techniques" @default.
- W2995372873 cites W1542723449 @default.
- W2995372873 cites W1568916046 @default.
- W2995372873 cites W1575739010 @default.
- W2995372873 cites W1903029394 @default.
- W2995372873 cites W1967090357 @default.
- W2995372873 cites W1991367009 @default.
- W2995372873 cites W1998090252 @default.
- W2995372873 cites W2002260165 @default.
- W2995372873 cites W2006327073 @default.
- W2995372873 cites W2081447941 @default.
- W2995372873 cites W2091867141 @default.
- W2995372873 cites W2121927366 @default.
- W2995372873 cites W2121947440 @default.
- W2995372873 cites W2125836114 @default.
- W2995372873 cites W2140405352 @default.
- W2995372873 cites W2152632881 @default.
- W2995372873 cites W2168203603 @default.
- W2995372873 cites W2327241445 @default.
- W2995372873 cites W2416206602 @default.
- W2995372873 cites W2491718445 @default.
- W2995372873 cites W2535919782 @default.
- W2995372873 cites W2899855555 @default.
- W2995372873 cites W2105484072 @default.
- W2995372873 doi "https://doi.org/10.1109/tla.2019.8932330" @default.
- W2995372873 hasPublicationYear "2019" @default.
- W2995372873 type Work @default.
- W2995372873 sameAs 2995372873 @default.
- W2995372873 citedByCount "2" @default.
- W2995372873 countsByYear W29953728732021 @default.
- W2995372873 countsByYear W29953728732022 @default.
- W2995372873 crossrefType "journal-article" @default.
- W2995372873 hasAuthorship W2995372873A5033154465 @default.
- W2995372873 hasAuthorship W2995372873A5062771846 @default.
- W2995372873 hasAuthorship W2995372873A5069051056 @default.
- W2995372873 hasConcept C106301342 @default.
- W2995372873 hasConcept C111442797 @default.
- W2995372873 hasConcept C121332964 @default.
- W2995372873 hasConcept C124101348 @default.
- W2995372873 hasConcept C124504099 @default.
- W2995372873 hasConcept C153180895 @default.
- W2995372873 hasConcept C154945302 @default.
- W2995372873 hasConcept C206824153 @default.
- W2995372873 hasConcept C25694479 @default.
- W2995372873 hasConcept C31972630 @default.
- W2995372873 hasConcept C41008148 @default.
- W2995372873 hasConcept C62520636 @default.
- W2995372873 hasConcept C65885262 @default.
- W2995372873 hasConcept C73555534 @default.
- W2995372873 hasConcept C89600930 @default.
- W2995372873 hasConceptScore W2995372873C106301342 @default.
- W2995372873 hasConceptScore W2995372873C111442797 @default.
- W2995372873 hasConceptScore W2995372873C121332964 @default.
- W2995372873 hasConceptScore W2995372873C124101348 @default.
- W2995372873 hasConceptScore W2995372873C124504099 @default.
- W2995372873 hasConceptScore W2995372873C153180895 @default.
- W2995372873 hasConceptScore W2995372873C154945302 @default.
- W2995372873 hasConceptScore W2995372873C206824153 @default.
- W2995372873 hasConceptScore W2995372873C25694479 @default.
- W2995372873 hasConceptScore W2995372873C31972630 @default.
- W2995372873 hasConceptScore W2995372873C41008148 @default.
- W2995372873 hasConceptScore W2995372873C62520636 @default.
- W2995372873 hasConceptScore W2995372873C65885262 @default.
- W2995372873 hasConceptScore W2995372873C73555534 @default.
- W2995372873 hasConceptScore W2995372873C89600930 @default.
- W2995372873 hasLocation W29953728731 @default.
- W2995372873 hasOpenAccess W2995372873 @default.
- W2995372873 hasPrimaryLocation W29953728731 @default.
- W2995372873 hasRelatedWork W1037978 @default.
- W2995372873 hasRelatedWork W106659 @default.
- W2995372873 hasRelatedWork W10746426 @default.
- W2995372873 hasRelatedWork W11130107 @default.
- W2995372873 hasRelatedWork W14612285 @default.
- W2995372873 hasRelatedWork W2837842 @default.
- W2995372873 hasRelatedWork W3542719 @default.
- W2995372873 hasRelatedWork W3737758 @default.
- W2995372873 hasRelatedWork W7433150 @default.
- W2995372873 hasRelatedWork W3000238 @default.
- W2995372873 isParatext "false" @default.
- W2995372873 isRetracted "false" @default.
- W2995372873 magId "2995372873" @default.
- W2995372873 workType "article" @default.