Computer graphics: principles and practice (2nd ed.)
Computer graphics: principles and practice (2nd ed.)
Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
The image processing handbook (2nd ed.)
The image processing handbook (2nd ed.)
Segmentation of petrographical images of marbles
Computers & Geosciences
A computer-controlled rotating polarizer stage for the petrographic microscope
Computers & Geosciences
Edge detection in petrographic images using the rotating polarizer stage
Computers & Geosciences
The Pattern Recognition Basis of Artificial Intelligence
The Pattern Recognition Basis of Artificial Intelligence
Practical Handbook on Image Processing for Scientific Applications
Practical Handbook on Image Processing for Scientific Applications
Neural Smithing: Supervised Learning in Feedforward Artificial Neural Networks
Neural Smithing: Supervised Learning in Feedforward Artificial Neural Networks
Mineral identification using artificial neural networks and the rotating polarizer stage
Computers & Geosciences - Geological Applications of Digital Imaging
Image Segmentation Based on Combination of Global and Local Information
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
A Neural Network-Based Segmentation Tool for Color Images
ICTAI '02 Proceedings of the 14th IEEE International Conference on Tools with Artificial Intelligence
Neural-Based Architectures for the Segmentation of Textures
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 3
Unsupervised Fuzzy Clustering and Image Segmentation Using Weighted Neural Networks
ICIAP '03 Proceedings of the 12th International Conference on Image Analysis and Processing
Neural Networks: A Comprehensive Foundation (3rd Edition)
Neural Networks: A Comprehensive Foundation (3rd Edition)
Mineral identification using color spaces and artificial neural networks
Computers & Geosciences
Multiclass mineral recognition using similarity features and ensembles of pair-wise classifiers
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part II
Detecting grain boundaries in deformed rocks using a cellular automata approach
Computers & Geosciences
| Hi-index | 0.00 |
A practical methodology to edit edges within petrographic images is presented. The procedure uses the existing output of a standard segmentation routine as input. Edges are skeletonized and converted into segments which separate two grains and join at nodal points. As series of colour and texture parameters are extracted from all grains. For each edge segment, an artificial neural net (ANN) evaluates differences in the parameters for the grains separated by the segment. ANN output is used to classify segments as true or false edges and can be thresholded at different levels. A manual procedure allows for the final classification of the segments. This method significantly improves the speed with which edges can be edited in preparation for other studies.