Edge detection in petrographic images using the rotating polarizer stage
Computers & Geosciences
Confocal scanning laser microscopy applied to the study of pore and crack networks in rocks
Computers & Geosciences - Geological Applications of Digital Imaging
Morphological Image Analysis: Principles and Applications
Morphological Image Analysis: Principles and Applications
Comparison of Five Color Models in Skin Pixel Classification
RATFG-RTS '99 Proceedings of the International Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems
Accurate Color Discrimination with Classification Based on Feature Distributions
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
Digital Image Processing Using MATLAB
Digital Image Processing Using MATLAB
Image Analysis and Mathematical Morphology
Image Analysis and Mathematical Morphology
IEEE Transactions on Signal Processing
An image processing algorithm for the reversed transformation of rotated microscope images
Computers & Geosciences
Computationally efficient, one-pass algorithm for morphological filters
Journal of Visual Communication and Image Representation
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This paper presents an image analysis algorithm for transcrystalline microcracks recognition. The algorithm is applied for the analysis of microscope images of a dolomite structure. Linear structures are derived using an image analysis method based on mathematical morphology functions utilizing linear structuring elements. Next, the standard deviation function of microcracks and grain boundaries of surrounding pixel values is used to determine transcrystalline microcracks. All operations were executed in CIELab colour representations of dolomite images. The results obtained confirm the adequacy of this approach as a robust segmentation tool. Accordingly, an algorithm was derived that allows a fully automatic segmentation of transcrystalline microcracks. This is followed by geometrical and statistical analysis. The developed algorithm may facilitate petrographical and stereological studies of rock structures observed under a polarizing microscope.