6533b81ffe1ef96bd12787d1
RESEARCH PRODUCT
A genetic algorithm for image segmentation
G. Lo Boscosubject
Fitness functionSettore INF/01 - Informaticabusiness.industrySegmentation-based object categorizationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONScale-space segmentationPattern recognitionImage segmentationReal imageMinimum spanning tree-based segmentationComputer Science::Computer Vision and Pattern RecognitionGenetic algorithmComputer visionSegmentationArtificial intelligencebusinessGenetic algorithm Image SegmentationMathematicsdescription
The paper describes a new algorithm for image segmentation. It is based on a genetic approach that allow us to consider the segmentation problem as a global optimization problem (GOP). For this purpose, a fitness function, based on the similarity between images, has been defined. The similarity is a function of both the intensity and the spatial position of pixels. Preliminary results, obtained using real images, show a good performance of the segmentation algorithm.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2002-11-13 |