Using active contours and mathematical morphology tools for quantification of immunohistochemical images
- 1 December 1998
- journal article
- Published by Elsevier in Signal Processing
- Vol. 71 (2) , 215-226
- https://doi.org/10.1016/s0165-1684(98)00146-7
Abstract
No abstract availableKeywords
This publication has 18 references indexed in Scilit:
- Segmentation using deformable models with affinity-based localizationPublished by Springer Nature ,1997
- Analysis of Cellular Microscopy Images by Means of Neighbourhood GraphsMicroscopy Microanalysis Microstructures, 1996
- Automated Segmentation of Cytological and Histological Images for the Nuclear Quantification: an Adaptive Approach based on Mathematical MorphologyMicroscopy Microanalysis Microstructures, 1996
- Gradient flows and geometric active contour modelsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1995
- Seeded region growingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1994
- A geometric model for active contours in image processingNumerische Mathematik, 1993
- Axioms and fundamental equations of image processingArchive for Rational Mechanics and Analysis, 1993
- Snakes: Active contour modelsInternational Journal of Computer Vision, 1988
- Using Canny's criteria to derive a recursively implemented optimal edge detectorInternational Journal of Computer Vision, 1987
- A Computational Approach to Edge DetectionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1986