6533b870fe1ef96bd12cfb61
RESEARCH PRODUCT
Image Segmentation based on Genetic Algorithms Combination
Vito Di GesùGiosuè Lo Boscosubject
Settore INF/01 - InformaticaComputer scienceSegmentation-based object categorizationbusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONScale-space segmentationImage segmentationReal imageGenetic Algorithms clusteringImage textureMinimum spanning tree-based segmentationRegion growingComputer Science::Computer Vision and Pattern RecognitionSegmentationComputer visionArtificial intelligenceCluster analysisbusinessdescription
The paper describes a new image segmentation algorithm called Combined Genetic segmentation which is based on a genetic algorithm. Here, the segmentation is considered as a clustering of pixels and a similarity function based on spatial and intensity pixel features is used. The proposed methodology starts from the assumption that an image segmentation problem can be treated as a Global Optimization Problem. The results of the image segmentations algorithm has been compared with recent existing techniques. Several experiments, performed on real images, show good performances of our approach compared to other existing methods.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2005-01-01 |