Classification of segment images created by connecting points of high concavity along curvatures is used to resolve partial occlusion in images. Modeling of shape or curvature is not necessary nor is the traditional excessive use of heuristics. Applied to human cell images, 82.6% of the analyzed clusters of chromosomes are correctly separated, rising to 90.5% following rejection of 8.7% of the images. Index Terms-Chromosome analysis, image classification, image segmentation, neural networks, partial occlusion.
ASJC Scopus subject areas
- Signal Processing
- Electrical and Electronic Engineering