Introduction to mathematical morphology
Computer Vision, Graphics, and Image Processing
Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
An overview of morphological filtering
Circuits, Systems, and Signal Processing - Special issue: median and morphological filters
Digital image processing algorithms
Digital image processing algorithms
Topographic distance and watershed lines
Signal Processing - Special issue on mathematical morphology and its applications to signal processing
Digital Picture Processing
Color Segmentation Applied to Study of the Angiogenesis. Part I
Journal of Intelligent and Robotic Systems
Generalized Morphological Operators Applied to Map-Analysis
SSPR '96 Proceedings of the 6th International Workshop on Advances in Structural and Syntactical Pattern Recognition
Image Analysis and Mathematical Morphology
Image Analysis and Mathematical Morphology
Computer Methods and Programs in Biomedicine
Computers in Biology and Medicine
| Hi-index | 0.01 |
A strategy for reduction of noise in segmented images, which represent the angiogenesis process in tumour tissues, is discussed. With the purpose of comparison we carried out several researches with different morphological filters. However, morphological filters do not reduce completely the noise resulting after the segmentation of blood vessels. Therefore, we propose an alternative scheme based on components labelling and morphological filters. Final results were compared with manual segmentation carried out by an expert, where difference errors of less than 3% were observed. It is demonstrated by extensive experimentation, by using real image data, that the proposed strategy is fast and robust in the environment of a personal computer. These images will be subject to a further morphometrical analysis, in order to diagnose and prognosticate automatically malign tumors.