Pattern Recognition
An overview of morphological filtering
Circuits, Systems, and Signal Processing - Special issue: median and morphological filters
Cell image segmentation for diagnostic pathology
Advanced algorithmic approaches to medical image segmentation
Morphological Image Analysis: Principles and Applications
Morphological Image Analysis: Principles and Applications
White blood cell segmentation using morphological operators and scale-space analysis
SIBGRAPI '07 Proceedings of the XX Brazilian Symposium on Computer Graphics and Image Processing
Cluster validation for unsupervised stochastic model-based image segmentation
IEEE Transactions on Image Processing
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The analysis of progenitor cell proliferation in image sequences helps in understanding the formation of organ, identifying reason for decease and cell based therapies. We introduce a technique using morphological techniques for cell segmentation and extended h-maxima transformation for finding position of the cell in the frame. The over segmentation problem of watershed algorithms is reduced by morphologic erosion, allowing for more accurate quantification, even in low contrast images. The number of cells and the average cell size could be determined in the image. Application of this method to a difficult dataset allowed us to identify 96% of the cells in the image.